Medical and aesthetic surgery system based on general-purpose physical body intelligent surgery robot platform

Abstract

The application provides a medical and aesthetic surgery system based on a general-purpose body-shaped intelligent surgery robot platform, the general-purpose body-shaped intelligent surgery robot platform comprising a general-purpose execution module, a general-purpose positioning module and a general-purpose control module; the modular body-shaped intelligent medical and aesthetic robot system comprising: a medical and aesthetic surgery execution module comprising at least one execution terminal matched with a target operation to be executed; a medical and aesthetic surgery navigation positioning module for navigating and positioning a target in an operating room comprising the execution terminal; a medical and aesthetic surgery control module for controlling the execution terminal according to a deployed intelligent agent and a target control mode to perform the target operation; wherein the control mode comprises at least one of autonomous control, local control and remote control.

Description

Technical Field

[0001] This application belongs to the field of embodied intelligent robots, and in particular relates to a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform. Background Technology

[0002] With the rapid development of surgical robot technology, more and more surgical robots are entering the operating room to assist doctors in performing various surgical procedures.

[0003] In related technologies, surgical robot manufacturers often develop surgical robot technologies for individual departments, resulting in specialized surgical robots that are often only capable of performing specific procedures within those departments. Different departments within a hospital need to interface with different surgical robot manufacturers to use their respective robots, which hinders the improvement of overall hospital diagnostic and treatment technology intelligence and the widespread application of surgical robots. Therefore, developing a more intelligent, efficient, and versatile general-purpose surgical robot system has become an urgent technical problem to be solved in this field. Summary of the Invention

[0004] This application provides a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform. It can realize a modular embodied intelligent medical aesthetic surgical robot, and can be quickly applied to more departments through modular modification, which helps to improve the overall intelligence of hospital diagnosis and treatment technology and promote the application of surgical robots.

[0005] In a first aspect, embodiments of this application provide a medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform, wherein the universal embodied intelligent surgical robot platform includes a universal execution module, a universal positioning module, and a universal control module; The modular, embodied intelligent medical aesthetic robot system includes: A cosmetic surgery execution module includes at least one execution terminal that matches the target surgical procedure to be performed; A medical aesthetic surgery navigation and positioning module is used for navigation and positioning of targets within the operating room, including the execution terminal. The medical aesthetic surgery control module is used to control the execution terminal according to the deployed intelligent agent and the target control mode to perform the target procedure; wherein the control mode includes at least one of autonomous control, local control and remote control.

[0006] Optionally, the medical aesthetic surgery control module is specifically used for: When the target procedure is an oral procedure, the execution terminal is controlled according to the target control mode to perform the oral procedure; The oral procedures mentioned include supernumerary tooth extraction, implant placement, and autologous tooth transplantation.

[0007] Optionally, the medical aesthetic surgery control module is specifically used for: When the target procedure is a maxillofacial procedure, the execution terminal is controlled according to the target control mode to perform the maxillofacial procedure; The maxillofacial procedures include orthognathic surgery, jawbone osteotomy and reconstruction, and jawbone defect repair.

[0008] Optionally, the medical aesthetic surgery control module is specifically used for: When the target procedure is hair transplantation, the execution terminal is controlled according to the target control mode to perform the hair transplantation procedure. The hair transplant procedure includes follicular unit extraction, multi-embryo follicular unit extraction, and microneedle implantation.

[0009] Optionally, the medical aesthetic surgery control module is specifically used for: When the target procedure is a cosmetic injection procedure, the execution terminal is controlled according to the target control mode to perform the cosmetic injection procedure. The aforementioned cosmetic injection procedures include hyaluronic acid injections, botulinum toxin injections, and filler injections.

[0010] Optionally, the medical aesthetic surgery control module is specifically used for: When the target procedure is a medical aesthetic laser procedure, the execution terminal is controlled according to the target control mode to perform the medical aesthetic laser procedure; The medical aesthetic laser procedures include skin rejuvenation, removal of pigmented lesions, and scar and skin repair.

[0011] Optionally, the medical aesthetic surgery control module includes a remote control terminal and a local control terminal, wherein the remote control terminal is used for: Send remote control commands to the local control terminal to control the execution terminal based on the remote control commands; or, Send remote demand commands to the local control terminal, and control the execution terminal based on the remote demand commands and the multimodal autonomous operating agent.

[0012] Optionally, the medical aesthetic surgery control module is specifically used for: Based on the deployed autonomous operating intelligent agent, the execution terminal and related equipment are comprehensively controlled to perform or assist in the execution of surgical procedures through the execution terminal.

[0013] Optionally, the medical aesthetic surgery system based on the general-purpose embodied intelligent surgical robot platform further includes a medical aesthetic simulation module, which is used for: Based on the preoperative planning, the entire surgical process was simulated and the plan was optimized; and... Based on the preoperative planning, predict the surgical outcome; and... Practice surgical procedures according to the preoperative planning scheme.

[0014] Optionally, the modular embodied intelligent medical aesthetic robot system further includes an extended reality module, the extended reality module being used for: Extended reality content related to the current surgery is presented through an extended reality terminal; wherein, the extended reality content includes real-time audio and video data during the operation, instant prompts, and operation suggestions.

[0015] Secondly, embodiments of this application provide a control method for a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform. The control method is used to implement the functions of the medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform as described in any embodiment of the first aspect.

[0016] Thirdly, embodiments of this application provide an electronic device, which includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, it implements the functions of the medical aesthetic surgery system based on the general-purpose embodied intelligent surgical robot platform.

[0017] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement functions in a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform.

[0018] The medical aesthetic surgery system, control method, equipment, and computer-readable storage medium based on the general-purpose embodied intelligent surgical robot platform in this application embodiment can realize a medical aesthetic surgery system based on the general-purpose embodied intelligent surgical robot platform, including a medical aesthetic surgery execution module, a medical aesthetic surgery navigation and positioning module, and a medical aesthetic surgery control module, based on a general-purpose execution module, a general-purpose positioning module, and a general-purpose control module. This realizes a modular embodied intelligent medical aesthetic surgery robot, and it can be quickly applied to more departments through modular modification, which helps to improve the overall intelligence of hospital diagnosis and treatment technology and promote the application of surgical robots. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the overall architecture of a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform provided in one embodiment of this application; Figure 2 This is a schematic diagram of a general-purpose execution module in a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform provided in one embodiment of this application; Figure 3 This is a schematic diagram of a general-purpose positioning module in a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform provided in one embodiment of this application; Figure 4 This is a schematic diagram of a general-purpose control module in a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform provided in one embodiment of this application; Figure 5 This is a medical aesthetic surgery scenario diagram of a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform provided in one embodiment of this application. Figure 6 This is a schematic diagram of the skill pack of an intelligent agent deployed in a medical aesthetic surgery scenario in a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform provided in one embodiment of this application; Figure 7 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application. Detailed Implementation

[0021] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0022] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0023] To address the problems of existing technologies, this application provides a medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform provided in this application will be described below. The universal embodied intelligent surgical robot platform includes a universal execution module, a universal positioning module, and a universal control module. Figure 1 This is a schematic diagram of the architecture of a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform provided in one embodiment of this application. The modular embodied intelligent medical aesthetic robot system includes: a medical aesthetic surgery execution module, which includes at least one execution terminal matched with the target surgical procedure to be performed; a medical aesthetic surgery navigation and positioning module, used for navigating and positioning the target in the operating room, including the execution terminal; and a medical aesthetic surgery control module, used for controlling the execution terminal according to the deployed intelligent agent and the target control mode to perform the target surgical procedure; wherein, the control mode includes at least one of autonomous control, local control, and remote control.

[0024] In some embodiments, the general-purpose embodied intelligent surgical robot platform includes a general-purpose execution module, a general-purpose positioning module, and a general-purpose control module. By combining with corresponding department-specific modules, embodied intelligent surgical robot systems applicable to various departments can be formed. The resulting embodied intelligent surgical robot system can be applied to surgical scenarios such as orthopedic robotic surgery, laparoscopic robotic surgery, cosmetic robotic surgery, neurosurgical robotic surgery, and transoral robotic surgery. This aims to improve the overall intelligence of hospital diagnosis and treatment technology through the general-purpose embodied intelligent surgical robot platform, promote the application of embodied intelligent surgical robots in hospitals, and reduce the overall management cost of using surgical robot platforms in hospitals.

[0025] In some embodiments, the medical aesthetic surgery execution module may consist of a general-purpose execution module and a medical aesthetic-specific execution module. The general-purpose execution module may be a surgical robotic arm with end effector replacement capability, and the medical aesthetic-specific execution module may be, for example, a dedicated end effector for performing medical aesthetic surgery.

[0026] For example, a schematic diagram of a general-purpose execution module can be shown as follows: Figure 2 As shown.

[0027] In this way, by replacing the general-purpose execution module with different types of dedicated execution modules, various types of intelligent medical aesthetic surgeries can be realized. On this basis, combined with the deployed medical-specific intelligent agents, the level of intelligence, efficiency, and effectiveness of the surgery can be further improved.

[0028] In some embodiments, the medical aesthetics navigation and positioning module can be implemented based on a general-purpose positioning module. To adapt to different surgical types such as orthopedic surgery and medical aesthetics surgery, the general-purpose positioning module can include multiple types of navigation and positioning terminal functions, or reserve placement locations / interfaces for navigation and positioning terminals.

[0029] For example, a schematic diagram of a general-purpose positioning module can be shown as follows: Figure 3 As shown.

[0030] In some embodiments, the medical aesthetic surgery control module can be implemented based on a general-purpose control module, which includes a host computer with an intelligent agent deployed within it. The general-purpose control module is implemented by connecting different department-specific control modules externally. For example, the department-specific modules may include hand controllers, foot pedals, augmented display terminals, microscopic display terminals, etc.

[0031] For example, a schematic diagram of a general-purpose control module can be shown as follows: Figure 4 As shown.

[0032] Figure 5 This is a medical aesthetic surgery scenario diagram of a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform provided in one embodiment of this application.

[0033] In some embodiments, the agent deployed in the general-purpose control module can be pre-configured with a medical-specific skill package, which includes skill modules such as multimodal data processing, surgical procedure understanding, risk assessment and early warning, real-time interactive response, and postoperative assessment optimization.

[0034] Figure 6 This is a schematic diagram of the skill package of an intelligent agent deployed in a medical aesthetic surgery scenario within a medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform, provided in one embodiment of this application.

[0035] The multimodal data processing module includes a dedicated image analysis engine and an intraoperative multi-source data fusion mechanism. The dedicated image analysis engine integrates CT, MRI, and X-ray image data processing capabilities to achieve sub-millimeter-level anatomical structure recognition, with optimizations specifically for fine structures such as trabeculae, cartilage, and ligaments to achieve multimodal fusion processing capabilities. It can also utilize rapid surface reconstruction algorithms based on models such as Tri-dexel to quickly convert preoperative CT data and other image data into high-precision 3D anatomical models, controlling errors within 0.5mm to achieve high-precision real-time 3D reconstruction. Furthermore, it can automatically update the anatomical model intraoperatively based on real-time image data to adapt to bone tissue deformation and changes in surgical progress, ensuring navigation accuracy. The system remains synchronized with the actual anatomical structure to achieve a dynamic update mechanism for the dedicated image analysis engine. The intraoperative multi-source data fusion mechanism can synchronously process data from multiple sources, including optical positioning systems, force feedback sensors, and fluorescence imaging, to construct a unified intraoperative situational awareness map, thus integrating multi-sensor data. This mechanism can also extract key parameters such as acetabular anteversion angle, femoral neck-shaft angle, and joint alignment in real time, dynamically comparing them with preoperative planning to promptly identify deviations and achieve automatic extraction of key parameters. Furthermore, the built-in data quality control module automatically detects image artifacts and sensor interference to ensure the reliability of input data and achieve data quality assessment.

[0036] The surgical procedure understanding skills module includes a surgical knowledge graph and a surgical stage intelligent recognition mechanism. The surgical knowledge graph integrates authoritative domestic and international guidelines to construct a standardized surgical procedure library covering subspecialties such as trauma, spine, and joint surgery. It contains a standardized operational procedure library with detailed steps and key points for over 200 common surgeries. Based on the patient's specific condition and surgical type, the surgical knowledge graph automatically matches the optimal operational standard, providing a surgical plan tailored to the patient's individual characteristics, thus achieving intelligent matching of operational standards. Furthermore, by accessing a database of millions of surgical cases, the surgical knowledge graph provides reference experience and potential risk predictions for the current surgery through similar case retrieval. The system employs a learning system based on historical cases. The intelligent surgical stage identification mechanism automatically identifies the current surgical stage (e.g., exposure, osteotomy, reduction, fixation) based on intraoperative operational characteristics and key events, providing targeted decision support for that stage to achieve stage division and identification. This mechanism also provides operational reminders and risk warnings at key surgical nodes (e.g., screw insertion, prosthesis placement) to prevent operational errors and achieve key node reminders. Furthermore, the mechanism monitors the surgical procedure in real-time to ensure compliance with standards, promptly reminding and correcting any deviations from the standard procedure to achieve process compliance checks.

[0037] The risk assessment and early warning skills module includes a multi-level risk assessment system and an intelligent early warning system. The multi-level risk assessment system analyzes the anatomical structure of the surgical area in real time, identifies key structures such as nerves and blood vessels, and assesses the potential damage risk from the procedure to achieve anatomical risk assessment. Based on bone tissue characteristic analysis, it assesses the impact of osteotomy, fixation, and other procedures on bone stability and predicts postoperative complication risks to achieve biomechanical risk assessment. The multi-level risk assessment system integrates individual patient characteristics, surgical progress, and real-time monitoring data to generate a dynamic risk score, intuitively reflecting the trend of surgical risk changes to achieve dynamic risk quantification. The intelligent early warning system establishes a three-level early warning system (prompt, warning, and emergency intervention), taking different levels of early warning measures according to the severity of the risk, constructing a hierarchical early warning mechanism. Through historical surgical data analysis, the intelligent early warning system continuously optimizes the early warning threshold, reduces the false alarm rate, and ensures the accuracy and timeliness of early warnings to optimize early warning precision. The intelligent early warning system provides different levels of detail in early warning information for doctors with different experience levels; novice doctors receive more detailed guidance, while experienced doctors receive key reminders, thus personalizing the early warning content.

[0038] The real-time interactive response skill module includes a multimodal interactive interface enhancement mechanism and an intelligent decision support mechanism. The multimodal interactive interface enhancement mechanism uses augmented reality technology to visually overlay key anatomical structures, surgical paths, and risk areas onto the surgical field, providing enhanced display effects to achieve AR / VR visualization support. This mechanism also supports natural language commands, allowing doctors to query key parameters and obtain operational suggestions via voice without interrupting the surgical procedure, thus integrating voice interaction functionality. Furthermore, the multimodal interactive interface enhancement mechanism collaborates with the embodied intelligent surgical robot system, providing tactile cues through force feedback devices. The system enhances the realism and precision of the operation to achieve integrated tactile feedback; the intelligent decision support mechanism dynamically adjusts preoperative planning based on real-time intraoperative data, providing optimal operation parameter suggestions (such as osteotomy angle, screw length, etc.) to optimize the treatment plan; the intelligent decision support mechanism quickly generates multiple feasible alternatives when encountering unexpected situations, and evaluates the advantages, disadvantages, and risks of each plan to prepare alternative solutions; the intelligent decision support mechanism enhances doctors' trust in the suggestions by attaching detailed evidence sources to each suggestion, including relevant guideline clauses, similar case data, and scientific evidence, to achieve evidence chain support.

[0039] The postoperative assessment and optimization skills module includes an immediate surgical outcome assessment mechanism and a closed-loop learning and optimization mechanism. The immediate surgical outcome assessment mechanism automatically analyzes postoperative imaging data to verify whether key parameters such as prosthesis position, joint alignment, and bone alignment meet expectations, thus achieving key parameter verification. Based on intraoperative data and patient characteristics, it predicts potential postoperative complication risks and provides early intervention suggestions, enabling complication risk prediction. It also generates visualized reports containing key parameters, surgical procedures, and outcome assessments, facilitating postoperative discussion and follow-up. The closed-loop learning and optimization mechanism records complete surgical process data, supporting detailed postoperative review and analysis, identifying areas for improvement, and enabling surgical retrospective analysis. Furthermore, it transforms successful surgical experiences and lessons learned into structured knowledge, continuously updating the skill package's decision-making model to achieve experiential knowledge accumulation. Finally, based on the surgeon's operational characteristics and common problems, it provides targeted training suggestions and skill improvement paths to build personalized learning pathways.

[0040] In some embodiments, the intelligent agent deployed in the medical aesthetic surgery control module can be configured with an intelligent medical aesthetic surgery skill package on the basis of a pre-configured medical-specific skill package. The intelligent medical aesthetic surgery skill package includes oral medical aesthetic surgery skill modules, medical aesthetic laser surgery skill modules, medical aesthetic injection surgery skill modules, medical aesthetic hair transplant surgery skill modules, maxillofacial surgery skill modules, clinical decision support skills, safety monitoring and risk warning skills, and surgical record and knowledge accumulation skills.

[0041] Clinical decision support skills can provide surgical recommendations based on evidence-based medicine, integrating authoritative guidelines and the latest research evidence to improve surgical safety and outcomes.

[0042] Safety monitoring and risk warning skills can monitor abnormal situations during the surgical process in real time, provide timely warnings of potential risks, and prevent complications. Specifically, this can be achieved by setting up a multi-level warning mechanism and automatically pausing the operation when an abnormal situation is detected.

[0043] Surgical recording and knowledge accumulation skills utilize structured storage of surgical data to facilitate subsequent analysis and learning, support surgical debriefing, teaching and continuous improvement, and can automatically record key surgical steps and parameters.

[0044] The oral cosmetic surgery skills module includes oral modeling and planning skills, implant navigation and execution skills, soft tissue management skills, and postoperative evaluation and follow-up skills. Oral modeling and planning skills can automatically construct a 3D model of the patient's oral cavity based on CBCT or intraoral scan data, accurately identifying tooth, gingival, and jawbone structures. This can be applied to preoperative planning of implant location, angle, and depth, simulating the surgical procedure, predicting postoperative results, and supporting multimodal data fusion. It can also be combined with facial aesthetic proportions for overall design. Implant navigation and execution skills allow for real-time intraoperative navigation of implant position, controlling the robotic arm for precise drilling and implantation. This ensures that the implant placement angle, depth, and position fully conform to the preoperative plan, and can integrate a force feedback system that automatically pauses and issues a warning when abnormal resistance is encountered; soft tissue handling skills can precisely control soft tissue incision, dissection, and suturing to reduce soft tissue damage, promote postoperative healing, and reduce the risk of complications, and can automatically adjust the operating force and speed according to tissue characteristics; postoperative assessment and follow-up skills can automatically analyze postoperative images, assess implant stability, generate follow-up plans, promptly identify potential problems, provide personalized postoperative care recommendations, and can interface with the patient's electronic medical record system to achieve full-process management.

[0045] The medical aesthetic laser surgery skills module includes skin analysis and parameter optimization, real-time monitoring and safety protection, precise positioning and path planning, and effect evaluation and treatment plan optimization. Skin analysis and parameter optimization utilizes multispectral imaging to analyze skin type, pigmentation distribution, and vascular condition to automatically calculate the optimal laser wavelength, energy density, and pulse width. It can also dynamically adjust parameters based on the patient's historical treatment data to avoid overtreatment. Real-time monitoring and safety protection allows for real-time monitoring of skin temperature, erythema reaction, and tissue changes during the procedure, automatically adjusting laser output to prevent complications such as burns and pigmentation. It also allows setting multiple safety thresholds, immediately stopping treatment if these thresholds are exceeded. Precise positioning and path planning identifies facial anatomical landmarks and plans the laser scanning path to ensure uniform coverage of the treatment area, avoiding omissions or duplicate treatments. It supports dynamic facial tracking, maintaining precise positioning even with slight patient movement. Effect evaluation and treatment plan optimization compares pre- and post-operative images to quantitatively assess treatment effectiveness, providing data support for subsequent treatments, optimizing treatment plans, and using AI algorithms to predict long-term effects and provide personalized recommendations.

[0046] The cosmetic injection surgery skills module includes dosage calculation and personalized treatment skills, injection path planning and execution skills, real-time feedback and adjustment skills, and post-operative management and complication warning skills. Dosage calculation and personalized treatment skills can calculate the optimal injection dosage based on the patient's facial anatomy, skin condition, and aesthetic needs to avoid unnatural effects or complications caused by over-injection. It can also integrate a large amount of clinical case data to provide evidence-based medicine support. Injection path planning and execution skills can plan the optimal injection points, depths, and angles, controlling the robotic arm for precise injection to ensure uniform drug distribution and achieve the best aesthetic results. It also supports multi-plane injection to adapt to the anatomical characteristics of different facial areas. Real-time feedback and adjustment skills can monitor tissue reactions during the injection process and adjust injection parameters in real time to avoid serious complications such as vascular embolism and nerve damage. It can also integrate ultrasound guidance to ensure accurate needle placement. Post-operative management and complication warning skills can automatically generate post-operative care plans, monitor signs of potential complications, and promptly detect and treat problems such as swelling, bruising, and infection. It can also connect with the patient's mobile application for remote monitoring and guidance.

[0047] The medical aesthetic hair transplant surgery skills module includes scalp analysis and donor area assessment skills, hairline design and planning skills, hair follicle extraction and implantation skills, and postoperative effect evaluation and optimization skills. Scalp analysis and donor area assessment skills utilize high-resolution imaging to analyze scalp condition, hair follicle density, and donor area quality to determine the optimal extraction and implantation areas, predict postoperative results, and support multi-angle imaging for comprehensive evaluation of the scalp's three-dimensional structure. Hairline design and planning skills design natural and aesthetically pleasing hairlines based on facial proportions and aesthetic standards to meet the personalized needs of different genders, ages, and face shapes, and can incorporate AI algorithms to simulate the visual effects of different hairline designs. Hair follicle extraction and implantation skills precisely control the extraction and implantation angles, depths, and densities to maximize hair follicle survival rates, ensure natural implantation results, and employ sub-millimeter precision to minimize damage to surrounding tissues. Postoperative effect evaluation and optimization skills regularly monitor hair growth, evaluate implantation results, provide follow-up care recommendations, plan supplementary implantations when necessary, and quantify changes in hair density and growth direction through image analysis.

[0048] The maxillofacial surgery skills module includes 3D reconstruction and surgical planning skills, intraoperative navigation and real-time registration skills, tissue dissection and reconstruction execution skills, and postoperative assessment and functional recovery skills. 3D reconstruction and surgical planning skills can construct a 3D facial model based on CT / MRI data to simulate surgical effects, planning complex operations such as bone reshaping and soft tissue adjustment. It also supports multidisciplinary collaboration, integrating professional opinions from dentistry, plastic surgery, and otolaryngology. Intraoperative navigation and real-time registration skills can register the preoperative planning model with the actual intraoperative situation in real time, ensuring that the surgical operation accurately conforms to the plan, reducing errors. It can also utilize multimodal data fusion to maintain accurate navigation even after tissue movement. Tissue dissection and reconstruction execution skills can precisely control tissue dissection, bone cutting, and reconstruction to reduce damage to surrounding nerves and blood vessels, improving surgical safety. It can also integrate a force feedback system to automatically adjust the operating force to adapt to different tissue characteristics. Postoperative assessment and functional recovery skills can evaluate postoperative facial symmetry and functional recovery to provide personalized rehabilitation plans, monitor complications, and combine AI algorithms to predict long-term effects and optimize postoperative management.

[0049] In some embodiments, the medical aesthetic surgery control module is specifically used for: When the target procedure is an oral procedure, the execution terminal is controlled according to the target control mode to perform the oral procedure; The oral procedures mentioned include supernumerary tooth extraction, implant placement, and autologous tooth transplantation.

[0050] In some embodiments, the various operations described above for oral procedures can be implemented using the skills in the intelligent medical aesthetic surgery skill package, which will not be elaborated further here.

[0051] In some embodiments, the medical aesthetic surgery control module is specifically used for: When the target procedure is a maxillofacial procedure, the execution terminal is controlled according to the target control mode to perform the maxillofacial procedure; The maxillofacial surgical procedures include orthognathic surgery, jawbone osteotomy and reconstruction, and jawbone defect repair.

[0052] In some embodiments, the various operations described above for maxillofacial procedures can be implemented using the skills in the intelligent medical aesthetic surgery skill package, which will not be elaborated further here.

[0053] In some embodiments, the medical aesthetic surgery control module is specifically used for: When the target procedure is hair transplantation, the execution terminal is controlled according to the target control mode to perform the hair transplantation procedure. The hair transplant procedure includes follicular unit extraction, multi-embryo follicular unit extraction, and microneedle implantation.

[0054] In some embodiments, the various operations described above for hair transplantation procedures can be implemented using the skills in the intelligent medical aesthetic surgery skill package, which will not be elaborated further here.

[0055] In some embodiments, the medical aesthetic surgery control module is specifically used for: When the target procedure is a cosmetic injection procedure, the execution terminal is controlled according to the target control mode to perform the cosmetic injection procedure. The aforementioned cosmetic injection procedures include hyaluronic acid injections, botulinum toxin injections, and filler injections.

[0056] In some embodiments, the various operations described above for cosmetic injection procedures can be implemented using the skills in the intelligent cosmetic surgery skill package, which will not be elaborated further here.

[0057] In some embodiments, the medical aesthetic surgery control module is specifically used for: When the target procedure is a medical aesthetic laser procedure, the execution terminal is controlled according to the target control mode to perform the medical aesthetic laser procedure; The medical aesthetic laser procedures include skin rejuvenation, removal of pigmented lesions, and scar and skin repair.

[0058] In some embodiments, the various operations described above for medical aesthetic laser procedures can be implemented using the skills in the intelligent medical aesthetic surgery skill package, which will not be elaborated further here.

[0059] In some embodiments, the medical aesthetic surgery control module includes a remote control terminal and a local control terminal, wherein the remote control terminal is used for: Send remote control commands to the local control terminal to control the execution terminal based on the remote control commands; or, Send remote demand commands to the local control terminal, and control the execution terminal based on the remote demand commands and the multimodal autonomous operating agent.

[0060] Among them, remote demand commands can be surgical operation requirements or auxiliary operation requirements for the current surgical stage, such as surgical operation requirements such as cutting the skin of the surgical site and inserting screws, or auxiliary operation requirements such as retracting soft tissue.

[0061] In some embodiments, the medical aesthetic surgery control module is specifically used for: Based on the deployed autonomous operating intelligent agent, the execution terminal and related equipment are comprehensively controlled to perform or assist in the execution of surgical procedures through the execution terminal.

[0062] In some embodiments, the medical aesthetic surgery system based on a general-purpose embodied intelligent surgical robot platform further includes a medical aesthetic simulation module, wherein the medical aesthetic simulation module is used for: Based on the preoperative planning, the entire surgical process was simulated and the plan was optimized; and... Based on the preoperative planning, predict the surgical outcome; and... Practice surgical procedures according to the preoperative planning scheme.

[0063] In some embodiments, the modular embodied intelligent medical aesthetic robot system further includes an extended reality module, the extended reality module being used for: Extended reality content related to the current surgery is presented through an extended reality terminal; wherein, the extended reality content includes real-time audio and video data during the operation, instant prompts, and operation suggestions.

[0064] Furthermore, based on the general-purpose embodied intelligent surgical robot platform, it can realize the whole orthopedic surgery system, the laparoscopic surgery system, the neurosurgical surgery system, and the natural orifice surgery system. It can also be configured with corresponding special skill packages for whole orthopedic surgery, laparoscopic surgery, neurosurgical surgery, and natural orifice surgery.

[0065] The comprehensive orthopedic surgery skill package includes an AI-powered intelligent surgical planning module, a navigation and positioning module, a robotic arm control module, a safety monitoring module, and specialized skill modules for knee, hip, spine, trauma, sports medicine, spinal endoscopic, and arthroscopic surgeries.

[0066] The AI-powered intelligent surgical planning module includes an AI-powered intelligent surgical planning engine that can automatically complete 3D bone reconstruction, anatomical site identification, and personalized surgical plan design within 5-10 minutes based on the patient's CT / MRI data. It is based on a deep learning model trained on real surgical cases, which can accurately match the prosthesis model, placement position, and angle. In addition, the dynamic adaptation algorithm can adjust the plan in real time according to the patient's bone age, bone density, and anatomical variations (such as scoliosis), avoiding the defects of standardized planning.

[0067] The navigation and positioning module can track the surgical trajectory in real time, accurately capture changes in the patient's position, and dynamically calibrate the surgical path. It can control devices such as optical trackers, real-time intraoperative images, and electromagnetic positioning sensors to construct a dynamic intraoperative navigation map and automatically alarm when the error exceeds a set threshold, thus solving the problem of positioning deviation caused by changes in the patient's position.

[0068] The robotic arm control module can simulate human hand operation and flexible perception through the force feedback sensor configured at the end of the robotic arm, and achieve linkage control with the patient / operating table to ensure operational stability and accuracy.

[0069] The safety monitoring module can achieve safety constraints on the surgical robot through real-time collision detection of trajectory points, joint speed / acceleration limiting, and force control mode (resistance control is triggered when the force exceeds the threshold). The safety monitoring module can generate a hard interrupt signal to achieve safety protection when an abnormality is detected.

[0070] The knee joint surgery-specific skill module includes knee joint surgery skin cutting skills, knee joint surgery osteotomy skills, and knee joint surgery suturing skills. The knee joint surgery skin cutting skill is used to automatically generate knee joint surgery skin cutting instructions to control the robotic arm to perform autonomous skin cutting operations; the knee joint surgery osteotomy skill is used to automatically generate osteotomy instructions containing femoral / tibial osteotomy parameters to control the robotic arm to perform autonomous osteotomy operations; the knee joint surgery suturing skill is used to automatically generate suturing instructions for the knee joint surgical area to control the robotic arm to perform autonomous suturing operations.

[0071] The hip joint surgery-specific skill module includes hip joint surgery skin cutting skills, hip joint surgery grinding skills, and hip joint surgery suturing skills. The hip joint surgery skin cutting skill is used to automatically generate hip joint surgery skin cutting instructions to control the robotic arm to perform autonomous skin cutting operations; the hip joint surgery grinding skill is used to automatically generate grinding instructions containing grinding parameters to control the robotic arm to perform autonomous grinding operations; and the hip joint surgery suturing skill is used to automatically generate suturing instructions for the hip joint surgical area to control the robotic arm to perform autonomous suturing operations.

[0072] The spinal surgery-specific skill module includes spinal surgery skin cutting skills, spinal surgery screw placement skills, and spinal surgery suturing skills. The spinal surgery skin cutting skill is used to automatically generate spinal surgery skin cutting instructions to control the robotic arm to perform autonomous skin cutting operations. The spinal surgery screw placement skill is used to automatically generate screw placement instructions containing screw placement parameters to control the robotic arm to perform autonomous screw placement operations. The spinal surgery suturing skill is used to automatically generate suturing instructions for the spinal surgery area to control the robotic arm to perform autonomous suturing operations.

[0073] The trauma surgery-specific skill module includes a trauma surgery skin incision generation skill and a trauma surgery wound fixation skill. The trauma surgery skin incision generation skill is used to automatically generate trauma surgery skin incision generation instructions to control the robotic arm to achieve autonomous skin incision generation operations. The trauma surgery wound fixation skill is used to automatically generate wound fixation instructions containing wound fixation parameters to control the robotic arm to achieve autonomous wound fixation operations.

[0074] The unicompartmental surgery specialized skill module includes unicompartmental surgery skin cutting skills, unicompartmental surgery osteotomy skills, and unicompartmental surgery suturing skills. The unicompartmental surgery skin cutting skill is used to automatically generate unicompartmental surgery skin cutting instructions to control the robotic arm to perform autonomous skin cutting operations; the unicompartmental surgery osteotomy skill is used to automatically generate osteotomy instructions containing unicompartmental osteotomy parameters to control the robotic arm to perform autonomous osteotomy operations; and the unicompartmental surgery suturing skill is used to automatically generate suturing instructions for the unicompartmental surgical area to control the robotic arm to perform autonomous suturing operations.

[0075] The sports medicine surgery-specific skill module includes sports medicine surgery skin incision generation, sports medicine surgery bone tunnel creation, sports medicine surgery ligament fixation, and sports medicine surgery suturing skills. The sports medicine surgery skin incision generation skill automatically generates instructions to create a skin incision, controlling the robotic arm to perform autonomous skin incision generation. The sports medicine surgery bone tunnel creation skill automatically generates instructions containing bone tunnel creation parameters, controlling the robotic arm to perform autonomous bone tunnel creation. The sports medicine surgery ligament fixation skill automatically generates instructions to fix ligaments, controlling the robotic arm to perform autonomous ligament fixation. The sports medicine surgery suturing skill automatically generates suturing instructions for the surgical area, controlling the robotic arm to perform autonomous suturing.

[0076] The laparoscopic surgery-specific skill package includes modules for precision acquisition, soft tissue traction, vascular clipping, fusion navigation, automatic generation of structured reports, a treatment guidelines library and risk warning system, a decision-making framework, multimodal medical record access, safety control, and human-machine collaboration.

[0077] The precision picking skill module can locate the center point of the picked object using image segmentation algorithms (such as FastSAM algorithm) and depth estimation algorithms (such as IGEV algorithm). The overall process can be visual recognition → target positioning → robotic arm trajectory planning → grasping → placement → verification. The application scenario can be autonomously recognizing and grasping gauze to accurately place it at the bleeding point for hemostasis.

[0078] The soft tissue traction skill module can use soft simulation training strategies such as the material point method to drive instruments to grasp target tissue, intelligently identify and grasp soft tissue, and autonomously pull it with a robotic arm to obtain a better surgical field of vision.

[0079] The vascular clamping skill module can accurately identify the location of blood vessels through a visual basic model and execute the vascular clamping operation through force feedback control, ensuring that the clamping force is appropriate. The overall execution process can be blood vessel identification → path planning → clamping → effect verification. Application scenarios include surgical operations such as vascular occlusion and hemostasis.

[0080] The fusion navigation skill module can reconstruct the vascular path of the occluded segment through multimodal image processing algorithms. The image data types used can include coronary CT angiography data, digital subtraction angiography data, etc. The application scenarios can include complex coronary interventional surgery, occluded coronary artery surgery, etc. Through fusion navigation, the optimal interventional angle can be predicted automatically before the operation, and the location of the vascular opening can be accurately identified.

[0081] The automatic structured report generation module can automatically generate standardized and structured surgical reports based on the surgical procedure. The overall execution process can be: data collection → information integration → report generation → doctor confirmation.

[0082] The diagnostic and treatment guidelines library and risk warning skills module, through the built-in authoritative guideline knowledge bases such as NCCN and FDA, establish decision thresholds and evidence sources, and can provide real-time guidance at the tertiary hospital level, distinguish between high and low risks, and intelligently warn of operational risks.

[0083] The decision framework skill module includes a complete decision chain comprising a visual analysis mechanism, a perceptual regressor mechanism, a policy learning mechanism, and a visual servoing mechanism. The visual analysis mechanism understands the surgical scene through a visual basic model, the perceptual regressor mechanism extracts image features, the policy learning mechanism performs trajectory planning through reinforcement learning, and the visual servoing mechanism performs various fine operations through a controller. The decision framework skill module provides a complete decision chain from perception to execution.

[0084] The multimodal medical record information retrieval skill module allows for real-time access to patients' multimodal medical record information during surgery. It integrates multimodal data such as images, text, and voice, combined with image and text understanding and knowledge reasoning capabilities. Doctors can obtain the information they need through interactive methods such as voice interaction and question answering during surgery. It can be applied to scenarios where key information such as patient medical history, past medical history, and imaging reports can be quickly obtained during surgery.

[0085] The safety control skills module includes multiple layers of safety mechanisms (sandbox mechanism, emergency stop mechanism, etc.) to prevent misoperations during surgery. Specifically, it can ensure surgical safety by monitoring various surgical procedures during the operation.

[0086] The human-machine collaboration skill module can break down doctor's instructions into multiple sub-tasks and call the corresponding skills to complete each sub-task, thereby optimizing the collaboration process between doctors and surgical robots.

[0087] The neurosurgical skills package includes modules for cerebral hematoma puncture and drainage surgery, brain tumor treatment surgery, deep brain stimulation surgery, and brain micro-navigation surgery.

[0088] The brain hematoma puncture and drainage surgery skill module includes intelligent puncture path planning, real-time navigation and dynamic compensation, and intelligent operation execution. The intelligent puncture path planning skill, based on a deep learning model with an nnU-Net architecture, performs 3D reconstruction of CT / MRI images, achieving precise segmentation of the hematoma region with a DICE coefficient ≥0.90. The system can distinguish between intraparenchymal and intraventricular hematoma types, automatically calculate the optimal puncture path, and realize automatic hematoma segmentation, identification, and optimal puncture path planning. A hematoma puncture safety zone mechanism is introduced, automatically assessing the risk level of the puncture path and avoiding key functional areas such as the internal capsule during path planning, selecting the best approach such as through the cerebellomedullary fissure. Furthermore, by intelligently calculating the number and distribution of side holes at the catheter tip, the system ensures maximum hematoma drainage efficiency while avoiding secondary damage to surrounding brain tissue. Real-time navigation and dynamic compensation skills can utilize structured light scanning or bony marker registration, and dynamically update navigation data through intraoperative real-time imaging (such as sliding-rail CT). This automatically corrects brain drift caused by cerebrospinal fluid loss or tissue resection, ensuring that navigation guidance is always synchronized. It can be accurately registered in supine, lateral, or prone positions, overcoming the limitations of lesion location on body position, and is particularly suitable for complex cases such as deep brainstem hemorrhage. Intelligent operation execution skills can achieve accurate picking through the FastSAM segmentation algorithm combined with the IGEV depth estimation algorithm. It can also drive the instrument to grasp the target tissue through the strategy trained by MPM software simulation. The robotic arm autonomously pulls the tissue to expose the surgical field to achieve soft tissue traction. The instrument tip is located in real time through visual analysis, and the DDPG strategy drives the endoscope to adjust its posture, so that the instrument is stably centered in the surgical field, achieving autonomous control.

[0089] The surgical skills module for brain tumor treatment includes multimodal intelligent diagnostic skills, dynamic surgical planning skills, and precise resection execution skills. Multimodal intelligent diagnostic skills can integrate multidimensional information from CT, MRI, diffusion tensor imaging (DTI), and functional magnetic resonance imaging (fMRI) to construct brain models, automatically complete lesion segmentation and three-dimensional reconstruction, and clearly mark tumor boundaries and adjacent blood vessels, nerve function areas, etc. Based on the UncSeg model with uncertainty estimation, it can achieve sub-millimeter-level navigation accuracy in key areas such as the corpus callosum by fusing DTI and motor function response markers. Dynamic surgical planning skills can use Raman spectroscopy combined with hyperspectral imaging to detect tumor cell-specific markers intraoperatively for real-time tissue identification. It can also achieve enhanced display navigation based on AR and intraoperative MRI fusion navigation, and realize personalized treatment recommendations and survival prediction based on the BITES framework. Precise resection execution skills can automatically correct registration deviations caused by tissue deformation based on real-time intraoperative images, achieving dynamic path updates and real-time decision-making. It can also combine the real-time, dynamic guidance capabilities, and flexible exploration advantages of ultrasound with CT and MRI to achieve multimodal perception fusion.

[0090] The deep brain stimulation (DBS) surgery skill module includes precise target localization, dynamic modulation and verification, and closed-loop adaptive techniques. Precise target localization utilizes online, real-time, automated target localization recorded by microelectrodes. It employs a manual algorithm to automatically analyze the subthalamic nucleus boundary using four features: background curve length, root mean square, amplitude, and signal power, enabling neurophysiological signal analysis. It can integrate multi-dimensional information from CT, MRI, and DTI to achieve multimodal image fusion, constructing a digital brain encompassing anatomical structures and neural functional connections. This allows for precise identification of target sites such as the STN, and can automatically plan the optimal electrode implantation location based on the patient's specific anatomical structure and pathological characteristics, achieving individualized target planning. The dynamic modulation and verification techniques can... Based on real-time intraoperative monitoring of neurophysiological signals, the stimulation parameters are dynamically adjusted. Once abnormal fluctuations are detected, the operation is automatically paused, prompting the doctor to adjust the plan, thus achieving real-time neurological monitoring. Frameless scanning and automatic planning can also be performed in the operating room. After the robotic arm delivers the electrodes to the target point, postoperative scanning verification is performed immediately. The closed-loop adaptive technology can directly collect pathological neural activity from the target area using DBS electrodes. The intelligent programmer automatically selects the optimal stimulation contact point and uses the pathological enhancement of local field potential nuclei pathophysiological neural activity (such as β oscillations) to trigger DBS parameter stimulation, thus achieving adaptive DBS. It can also stop stimulation after obtaining sufficient signal inhibition and automatically adjust the stimulation intensity to achieve dynamic parameter adjustment.

[0091] The brain microsurgical navigation skill module includes high-precision navigation skills, intelligent dynamic perception skills, and intelligent collaborative execution skills. High-precision navigation skills can integrate multi-dimensional information from CT, MRI, DTI, and fMRI to construct a digital brain containing anatomical structures, neural functional connections, and even metabolic information, achieving multimodal image fusion. It can also directly project tumor boundaries and functional areas onto the scalp, guiding surgeons to design the smallest incision and achieving the dual goals of complete tumor resection and functional preservation. Intelligent dynamic perception skills can combine real-time intraoperative images to automatically correct registration deviations caused by tissue deformation, enabling dynamic path updates and real-time decision-making. It can also adjust action strategies based on intraoperative feedback and combine the real-time and dynamic guidance capabilities of ultrasound with CT and MRI to solve problems such as lesion bias, omissions, and difficulty in access caused by the limited operating angle of the robotic arm. Intelligent collaborative execution skills can perform precise planning, stable execution, and risk warnings. Through an embodied intelligence platform, it provides an interactive environment for the surgical robot, simulations of various surgical tasks, and a reinforcement learning training engine to accelerate algorithm development and validation.

[0092] The professional skills package for surgery via natural orifices includes surgical skills via the upper gastrointestinal tract, surgical skills via the respiratory tract, surgical skills via the urogenital system, and surgical skills via the lower gastrointestinal tract.

[0093] Upper gastrointestinal surgical skills include esophageal circumferential lesion management, cardia and gastroesophageal junction manipulation, and early gastric cancer diagnosis and treatment. Esophageal circumferential lesion management can automatically identify the anatomical relationships between the esophagus and important structures such as the trachea and aortic arch, and compensate for tissue displacement caused by respiratory movements in real time, avoiding mucosal damage and perforation risks. It can provide a 10x magnified three-dimensional surgical field through a 3D high-definition vision system, solving the problem of extremely limited operating space due to the small lumen diameter. It also provides real-time feedback on the curved channel configuration through an integrated shape-sensing flexible endoscope, combined with a force feedback sensing system to detect tissue resistance and create a real-time three-dimensional map of the surrounding environment. Cardia and gastroesophageal junction manipulation skills can automatically identify and avoid branches of the left gastric artery, reducing postoperative gastroesophageal reflux disease. The AI-assisted depth estimation network accurately determines the depth of lesion invasion, enabling precise lower esophageal sphincter protection operations, especially considering the rich submucosal blood vessels in the cardia region (such as branches of the left gastric artery). It also features endoscopic path reconstruction, recording and optimizing the path of the endoscope into the body, allowing surgeons to easily return to previous paths for multiple precise procedures. Early gastric cancer diagnosis and treatment skills utilize a multimodal perception-decision-execution closed loop, autonomously adapting to the complex anatomy of the stomach. The AI ​​system can identify lesions of different sizes and adjust laser intensity, achieving precise identification, biopsy, and local treatment of gastric lesions. It is suitable for submucosal dissection of early gastric cancer and integrates confocal laser microscopy real-time cellular imaging diagnosis and intelligent pathological analysis AI.

[0094] Transventricular surgical skills include airway navigation and bronchoscopy, pulmonary nodule diagnosis and ablation therapy, and complex airway reconstruction surgery. Airway navigation and bronchoscopy utilizes AI to compensate for tissue positional changes caused by patient respiration in real time, predicts the respiratory cycle, and automatically adjusts laser positioning. It also features external magnetic field guidance via a magnetic navigation control system and respiratory compensation, enabling it to identify stones of different sizes and adjust laser intensity accordingly to ensure safe removal without damaging the ureters and kidneys. Pulmonary nodule diagnosis and ablation therapy achieves precise diagnosis and treatment of lung diseases through intelligent collaboration between the bronchoscopy navigation system and diagnostic and ablation devices. The AI ​​system creates real-time 3D maps to guide the operation, and the robotic system, employing embodied intelligence technology, enables it to autonomously adapt to the anatomical structure of the body's natural cavities. Complex airway reconstruction surgery automatically identifies and protects the superior laryngeal nerve and recurrent laryngeal nerve, avoiding speech disorders caused by bilateral superior laryngeal nerve damage. It monitors the contact force between the catheter tip and the airway wall in real time and, through an integrated fiber optic force sensing control system, ensures that nerve damage is avoided during airway reconstruction.

[0095] Transurogenital surgical skills include urinary tract stone management, radical prostatectomy, and bladder tumor resection. The urinary tract stone management skill utilizes an AI system to determine whether a stone can pass smoothly through the ureter. When the stone is large, it automatically adjusts the lithotripsy strategy and uses intelligent algorithms to predict the respiratory cycle and automatically adjust laser positioning. The radical prostatectomy skill automatically identifies the nerve plexus surrounding the prostate and uses an inward-rolling suture technique to achieve precise hemostasis, preserving the urethra to the maximum length, allowing patients to quickly regain urinary control. AI analyzes intraoperative images in real time and automatically alerts patients to "vascular variations here, requiring adjustment of the surgical path," ensuring surgical safety and achieving precise protection of nerves and the urethra during prostate cancer surgery, reducing postoperative complications such as urinary incontinence and erectile dysfunction. The bladder tumor resection skill uses an AI-assisted vision system to accurately understand and deeply estimate the surgical scene, enabling precise identification and resection of the bladder tumor. It automatically adjusts the electrocautery energy to avoid damaging surrounding nerves. A pure vision-based approach can be used, relying on standard binocular video to accurately understand the surgical scene in real time, supporting precise resection and hemostasis of the bladder tumor, particularly suitable for the treatment of early-stage bladder cancer.

[0096] Lower gastrointestinal surgical skills include colorectal ESD surgery, colonic anatomical variation management, and radical resection of rectal cancer. Colorectal ESD surgery utilizes a miniature, continuous, flexible robotic arm to traction and lift diseased tissue. This flexible arm allows for highly precise, high-degree-of-freedom control within the limited space of the digestive tract, significantly improving ESD safety and reducing surgical difficulty. Colonic anatomical variation management automatically identifies key points in the blood supply watershed region of the splenic flexure of the colon, considering these points when determining the anastomosis location and dissection range. It also addresses anatomical abnormalities caused by intestinal malrotation and clearly displays major vascular anatomy through preoperative CT angiography. The system can analyze and differentiate anatomical variations, particularly the branching of the inferior mesenteric artery, to provide personalized surgical plans for anatomical variations such as variations in the number of sigmoid arteries and compensatory thickening of the Riolan arch. Radical resection of rectal cancer can follow the principle of "total mesorectal resection," performing sharp dissection close to the visceral fascia of the rectum, avoiding excessive clamping or electrocautery towards the pelvic sidewall. It automatically identifies and protects pelvic visceral nerves, and through an integrated AI-assisted system, it can identify the neurovascular structures around the rectum in real time, ensuring safe operation even under complex anatomical conditions. This supports precise resection and lymph node dissection of rectal cancer, and is particularly suitable for sphincter-preserving surgery for low rectal cancer.

[0097] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown.

[0098] The electronic device may include a processor 701 and a memory 702 storing computer program instructions.

[0099] Specifically, the processor 701 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0100] Memory 702 may include mass storage for data or instructions. For example, and not limitingly, memory 702 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 702 may include removable or non-removable (or fixed) media. Where appropriate, memory 702 may be internal or external to an electronic device. In a particular embodiment, memory 702 may be a non-volatile solid-state memory.

[0101] In one embodiment, memory 702 may be read-only memory (ROM). In one embodiment, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0102] The processor 701 reads and executes computer program instructions stored in the memory 702 to implement the functions of the medical aesthetic surgery system based on the general-purpose embodied intelligent surgical robot platform described in any of the above embodiments.

[0103] In one example, the electronic device may also include a communication interface 703 and a bus 710. For example, Figure 7 As shown, the processor 701, memory 702, and communication interface 703 are connected through bus 710 and complete communication with each other.

[0104] The communication interface 703 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0105] Bus 710 includes hardware, software, or both, that couples components of an electronic device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 710 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, this application contemplates any suitable bus or interconnect.

[0106] Alternatively, embodiments of this application may be implemented using a computer-readable storage medium. This computer-readable storage medium stores computer program instructions; when executed by a processor, these computer program instructions implement the functions of the medical aesthetic surgery system based on the general-purpose embodied intelligent surgical robot platform described in any of the above embodiments.

[0107] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0108] The functional modules shown in the above-described block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0109] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0110] The aspects of this application have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by dedicated hardware performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0111] The above description is merely a specific implementation of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform, characterized in that, The general-purpose embodied intelligent surgical robot platform includes a general-purpose execution module, a general-purpose positioning module, and a general-purpose control module; The modular, embodied intelligent medical aesthetic robot system includes: A cosmetic surgery execution module includes at least one execution terminal that matches the target surgical procedure to be performed; A medical aesthetic surgery navigation and positioning module is used for navigation and positioning of targets within the operating room, including the execution terminal. The medical aesthetic surgery control module is used to control the execution terminal according to the deployed intelligent agent and the target control mode to perform the target procedure; wherein the control mode includes at least one of autonomous control, local control and remote control.

2. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform according to claim 1, characterized in that, The aforementioned medical aesthetic surgery control module is specifically used for: When the target procedure is an oral procedure, the execution terminal is controlled according to the target control mode to perform the oral procedure; The oral procedures mentioned include supernumerary tooth extraction, implant placement, and autologous tooth transplantation.

3. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform according to claim 1, characterized in that, The aforementioned medical aesthetic surgery control module is specifically used for: When the target procedure is a maxillofacial procedure, the execution terminal is controlled according to the target control mode to perform the maxillofacial procedure; The maxillofacial procedures include orthognathic surgery, jawbone osteotomy and reconstruction, and jawbone defect repair.

4. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform according to claim 1, characterized in that, The aforementioned medical aesthetic surgery control module is specifically used for: When the target procedure is hair transplantation, the execution terminal is controlled according to the target control mode to perform the hair transplantation procedure. The hair transplant procedure includes follicular unit extraction, multi-embryo follicular unit extraction, and microneedle implantation.

5. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform according to claim 1, characterized in that, The aforementioned medical aesthetic surgery control module is specifically used for: When the target procedure is a cosmetic injection procedure, the execution terminal is controlled according to the target control mode to perform the cosmetic injection procedure. The aforementioned cosmetic injection procedures include hyaluronic acid injections, botulinum toxin injections, and filler injections.

6. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform according to claim 1, characterized in that, The aforementioned medical aesthetic surgery control module is specifically used for: When the target procedure is a medical aesthetic laser procedure, the execution terminal is controlled according to the target control mode to perform the medical aesthetic laser procedure; The medical aesthetic laser procedures include skin rejuvenation, removal of pigmented lesions, and scar and skin repair.

7. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform according to any one of claims 1-6, characterized in that, The medical aesthetic surgery control module includes a remote control terminal and a local control terminal. The remote control terminal is used for: Send remote control commands to the local control terminal to control the execution terminal based on the remote control commands; or, Send remote demand commands to the local control terminal, and control the execution terminal based on the remote demand commands and the multimodal autonomous operating agent.

8. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform according to any one of claims 1-6, characterized in that, The aforementioned medical aesthetic surgery control module is specifically used for: Based on the deployed autonomous operating intelligent agent, the execution terminal and related equipment are comprehensively controlled to perform or assist in the execution of surgical procedures through the execution terminal.

9. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform according to any one of claims 1-6, characterized in that, The medical aesthetic surgery system based on the general-purpose embodied intelligent surgical robot platform also includes a medical aesthetic simulation module, which is used for: Based on the preoperative planning, the entire surgical process was simulated and the plan was optimized; and... Based on the preoperative planning, predict the surgical outcome; and... Practice surgical procedures according to the preoperative planning scheme.

10. The medical aesthetic surgery system based on a universal embodied intelligent surgical robot platform according to any one of claims 1-6, characterized in that, The modular embodied intelligent medical aesthetic robot system also includes an extended reality module, which is used for: Extended reality content related to the current surgery is presented through an extended reality terminal; wherein, the extended reality content includes real-time audio and video data during the operation, instant prompts, and operation suggestions.

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