29 results about "Surgery planning" patented technology

A method of controlling a surgical system includes obtaining a surgical plan containing a plurality of planned cuts, receiving a first cutting tool from a plurality of cutting tools at a surgical device, collecting a first checkpoint by tracking a probe as the probe contacts a first predefined point on the first cutting tool, collecting a second checkpoint by tracking the probe as the probe contacts a second predefined point at a first bone of a patient, automatically selecting a first planned cut from the plurality of planned cuts based on the first checkpoint and the second checkpoint, and, in response to automatically selecting the first planned cut, guiding execution of the first planned cut using the first cutting tool.

The invention discloses a three-dimensional reconstruction and emergency internal medicine operation planning method and device, and relates to the technical field of intelligent medical treatment, and the method comprises the steps: obtaining a two-dimensional slice image of a user, and carrying out the preprocessing of the two-dimensional slice image, and obtaining a first image; performing super-resolution reconstruction on the first image to obtain a second image; segmenting the second image to obtain a third image containing an operation boundary; on the basis of the third image, stacking the two-dimensional slice images into a three-dimensional grid by adopting a voxelization algorithm, and generating a three-dimensional model containing a surgical structure spatial relationship; a volume rendering technology is adopted to visualize the three-dimensional model, puncture and pipeline walking paths are enhanced through pseudo-color, and an operation planning view is generated based on optimized puncture and control pipelines. And automatic precise segmentation and high-quality three-dimensional reconstruction of the emergency internal medicine operation structure boundary are realized.

The invention belongs to the technical field of medical image processing and computer-aided surgical planning, and particularly relates to a scoliosis three-dimensional reconstruction system based on multi-modal image fusion and a surgical planning system.The scoliosis three-dimensional reconstruction system comprises a multi-modal data acquisition module, a space-time constraint registration module and a dynamic three-dimensional reconstruction module; the operation planning system comprises a model import module, an operation planning module, an effect simulation module and a scheme output module, space-time collaboration of static data and dynamic data is achieved, and the problem that in the prior art, static anatomical data cannot be associated with dynamic mechanical changes is effectively solved; a scoliosis dynamic three-dimensional model can not only retain dissection details of CT / MRI, but also integrate force line changes of load-bearing position X-rays and dynamic deformation of optical tracking, and scientific support is provided for surgical planning.

The invention provides an intelligent surgical robot navigation and positioning system for hip protection surgery and a control method, and the system comprises a preoperative planning module which is used for constructing a hip joint three-dimensional model of a patient according to a hip joint medical image of the patient, and carrying out the preoperative planning of the hip protection surgery on the patient based on the hip joint three-dimensional model, generating a personalized hip protection surgery planning scheme of the patient; and the navigation positioning module is used for mapping a hip protection surgery planning scheme according to the three-dimensional models of the solid hip joint in the surgery and the hip joint before the surgery registered by the navigator and the tracer, tracking the poses of the surgery tool and the solid hip joint in real time, and displaying and guiding the poses on a display screen. In the application, through preoperative planning-intra-operative positioning navigation, a patient personalized hip protection surgical plan and intra-operative real-time tracking and execution can be generated, multiple medical irradiation images are avoided, and the surgical effect is greatly improved.

The application relates to the technical field of surgical assistance, and discloses a foot deformity correction surgery planning and implementation method, which comprises the following steps: fusing multi-modal medical images and dynamic function data to construct a high-fidelity foot digital twin model; intelligently quantitatively evaluating and mechanismally analyzing deformities by using a deep learning network combined with a knowledge graph; automatically optimizing in a virtual space by using a multi-agent reinforcement learning algorithm to generate a personalized surgery plan verified by biomechanical simulation; converting the optimized scheme into augmented reality navigation information and robot control instructions to guide a surgical robot to perform adaptive and accurate osteotomy and reduction operations; dynamically evaluating execution deviations and guiding correction by using real-time three-dimensional scanning and registration technology during the operation, and intelligently matching and implanting internal fixators; immediately performing function verification after the operation, and generating a personalized digital rehabilitation scheme and long-term curative effect prediction for the patient based on the operation result. The application constructs an intelligent surgery ecological system throughout the whole process of "diagnosis, planning, implementation, evaluation and management", and significantly improves the accuracy, safety, predictability and scientific level of curative effect management of foot deformity correction surgery.

A method and system for automatically generating a pre-operative plan is disclosed that may include using a computing device to receive, from an electronic device associated with a physician, an identification message comprising identifying information associated with a target patient for a surgical procedure. The computing device may retrieve medical information associated with the target patient based on the identifying information, and apply machine learning models to identify a predicted condition of the target patient and to predict a surgical approach and one or more surgical components to use and may generate a surgical plan that comprises an indication of the surgical approach and an indication of the one or more surgical components.

A method and system for automatically generating a pre-operative plan is disclosed that may include using a computing device to receive, from an electronic device associated with a physician, an identification message comprising identifying information associated with a target patient for a surgical procedure. The computing device may retrieve medical information associated with the target patient based on the identifying information, and apply machine learning models to identify a predicted condition of the target patient and to predict a surgical approach and one or more surgical components to use and may generate a surgical plan that comprises an indication of the surgical approach and an indication of the one or more surgical components.

The invention provides an orthopedic surgery navigation system and method and electronic device.The system comprises a structured light camera, a surgery planning module, a registration module and a navigation guiding module.The structured light camera is used for collecting a depth image of a target osteotomy area in the surgery in real time; the operation planning module is used for performing operation planning on a target osteotomy area based on the preoperative medical image data of the patient and generating planning information; the registration module is used for performing registration on the depth image and a three-dimensional model reconstructed based on preoperative medical image data so as to determine navigation positioning information of an operation executing mechanism in a space; the technical problems that in the prior art, a physical marker is still depended on, the operation process is complex, and cost is high are solved, miniaturization and low cost of an orthopedic surgery navigation system are achieved, and the operation efficiency is improved. And the positioning precision and the operation reliability of the osteotomy operation are obviously improved.

Methods, non-transitory computer readable media, interface adapter devices, and surgical computing devices and systems that detect and analyze connectivity of an end effector to a robotic arm are disclosed. With this technology, an interface adapter device of a robotic arm includes a connectivity sensor that determines when an end effector is disconnected from the robotic arm to be used as a handpiece by a surgeon to carry out particular surgical task(s) associated with a surgical procedure. The interface adapter device can instruct the robotic arm to automatically enter an inactive state defined in a surgical plan for the surgical procedure upon detection of the disconnection. Upon reconnection of the handpiece, or installation of a different handpiece, the interface adapter device automatically facilitates readjustment of the robotic arm based on an active state (e.g., automated resumption of the surgical procedure) defined in a surgical plan for the surgical procedure.

The embodiment of the invention discloses a method and a system for planning a posterior approach spine endoscopic surgery based on computer assistance. The method comprises the following steps: acquiring a spinal imaging examination result of a patient, and realizing preliminary verification by virtue of a computer in combination with a surgical tool; after the verification is passed, a new image is obtained based on an image recognition technology, and planar operation planning verification is realized; and after passing, establishing a three-dimensional cervical vertebra model for feasibility analysis, and outputting a final surgical planning map. The method has the following advantages: 1, the operation feasibility is objectively evaluated; 2, surgical planning and design are assisted, a computer is used for aided design of a surgical approach, and the optimal clinical effect is achieved with the minimum trauma; and 3, different medical instruments can be brought in to respectively inspect the operation effects of the medical instruments. Reference is provided for selection of surgical tools, and medical cost is reduced. And 4, the operation planning scheme can be used for reference learning of clinicians or operation robots.

The application relates to the technical field of liver surgery, and discloses a liver surgery planning system based on data fusion. The system comprises an image data fusion module, a three-dimensional model construction module, a surgery path planning module, a risk assessment module and a scheme optimization module. The image data fusion module integrates CT and MRI images to generate a standardized image fusion model; the three-dimensional model construction module generates a liver three-dimensional visual model based on the image fusion model; the surgery path planning module plans an optimal resection path to form a preliminary surgery path scheme; the risk assessment module assesses the surgery risk and generates a report; and the scheme optimization module adjusts parameters based on the report to generate a final surgery planning scheme. The system accurately presents the liver structure and the tumor position, scientifically plans the surgery path, assesses and avoids the surgery risk, optimizes the surgery scheme, and helps precise implementation of liver surgery through multi-source data fusion and three-dimensional visualization technology.

Systems and methods for predicting surgical outcomes are provided. A surgical plan comprising information about a planned surgery and at least one preoperative image depicting a planned surgical result and at least one postoperative image depicting an actual surgical result resulting from execution of the planned surgery may be received. The postoperative image may be registered to the preoperative image. One or more features may be automatically identified in each of the postoperative image and the preoperative image. A difference may be automatically measured in at least one parameter of each of the one or more features to yield training data. A function for predicting the difference may be generated using artificial intelligence and based on the training data. The function may be applied to an unexecuted surgical plan.

The application discloses a knee joint replacement surgery auxiliary positioning method, electronic equipment and a storage medium. The method calculates the distance between the end tool of the mechanical arm and the surgery planning plane, the first included angle between the end tool plane of the mechanical arm and the surgery planning plane, and the second included angle between the sawtooth of the end tool of the mechanical arm and the cutting direction of the surgery planning plane at the current time, respectively. When the end tool of the mechanical arm reaches the surgery planning plane, the end tool plane of the mechanical arm is parallel to the surgery planning plane, and the sawtooth of the end tool of the mechanical arm is directed to the cutting direction of the surgery planning plane, it is determined that the positioning of the mechanical arm at the current time is accurate, the movement of the mechanical arm is controlled to stop, and when the condition is not met, the pose of the mechanical arm at the next time is calculated, the movement of the mechanical arm is controlled according to the pose at the next time, the auxiliary positioning under any pose is realized, and the application scenarios are wider than those of the prior art.

A method and system for personalized implant planning during total joint arthroplasty include obtaining a plurality of patient-specific data prior to an implantation of at least one implant into a joint of a patient comprising a first bone member and a second bone member; inputting the plurality of patient-specific data into at least one weight-based implant algorithm, at least one weight-based implant machine learning model, or both, configured to output weights assigned to patient-specific functional parameters that facilitate a prioritization for each of the patient-specific functional parameters; utilizing a surgical plan model to obtain a patient-specific intra-operative surgical plan for the implantation of the at least one implant, based at least in part on the plurality of patient-specific data, intra-operative patient-specific data, the plurality of patient-specific functional parameters, and / or the plurality of weights; and performing the implantation based on the patient-specific intra-operative surgical plan.

Embodiments of the present disclosure provides a method for surgery planning and executing, implemented on a computing device having at least one processor and at least one storage device, comprising: obtaining first sensed information collected by one or more first sensing devices in an operating room during a surgery of a patient; performing event of interest (EOI) detection on the first sensing data; and in response to detecting that an EO1 occurs, performing one or more predetermined operations corresponding to the EO1.

The invention relates to the technical field of medical image processing, in particular to a general surgery department acute abdominal disease operation planning system based on AI image analysis, which comprises an image data acquisition module, a focus feature extraction module, an ischemia analysis module, an operation scheme construction module and a diagnosis result generation module. According to the method, uniform expression of multi-source data in space is guaranteed through numerical fitting and registration of an image sequence, multi-angle extraction of pathological features is achieved by combining quantitative indexes such as intestinal wall thickness, orifice expansion and hydrops density, and systematic marks are formed through deep learning feature fusion. A potential ischemic area can be quickly identified under the condition of complex abdominal lesion, accurate definition of a lesion range is realized by utilizing perfusion indexes and continuous section screening, and a relationship between lesion length and anatomical space is further calculated, so that a quantitative basis is provided for an operation excision range and an anastomosis condition; deviation caused by subjective judgment is reduced, and the pertinence and the executability of a treatment scheme are improved.

The present disclosure provides an apparatus and method for providing guide information for surgical planning and rehabilitation exercise based on artificial intelligence, capable of predicting a postoperative complication at a surgical site of a subject patient based on artificial intelligence and providing prediction information to medical staff or a medical institution so that, when performing surgery on the subject patient or when the subject patient performs postoperative rehabilitation exercise, surgery and postoperative rehabilitation are performed in consideration of a likelihood of postoperative complication, thereby lowering a probability of occurrence of a complication during a postoperative rehabilitation period.

The embodiment of the invention is suitable for the technical field of computer-aided medical treatment, and provides an orthopedic surgery robot system and an orthopedic surgery intra-operative planning method, the system is connected with a pressure sensor, and the system comprises a data acquisition module used for acquiring bending and stretching data of legs of a patient; the data processing module is used for receiving the pressure data, collected by the pressure sensor, of the knee joint of the patient and generating intraoperative planning information based on the flexion and extension data and the pressure data; and the display feedback module is used for displaying the intra-operative planning information and guiding a surgeon to perform a total knee replacement operation on the patient. By adopting the system, the dynamic, automatic and accurate adjustment of the intraoperative operation planning can be realized, the dependence on the personal experience of doctors is reduced, and the soft tissue balance effect and the operation success rate are improved.

Systems and methods for planning and assisting orthopaedic surgical procedures include a computer system and a robotic surgical device. The computer system receives multiple surgeon preferences, including target values and boundary values for surgical parameters of the orthopaedic surgical procedure. A surgeon uses the computer system to perform bony registration and leg-alignment registration for anatomy of a patient. The computer system determines a surgical plan for the orthopaedic surgical procedure based on the surgeon preferences, the bony registration, and the leg-alignment registration. The surgical plan includes planned values associated with the surgical parameters that are within the boundary values of the surgeon preferences. Determining the surgical plan may include automatically adjusting tibial coronal alignment, femoral coronal alignment, femoral flexion, femoral rotation, distal femoral resection height, proximal tibial resection height, and / or distal femoral resection height. The computer system may control the robotic surgical device according to the surgical plan.

The application discloses a brain-computer interface electrode implantation surgery planning adaptive system and belongs to the field of diagnosis. The system comprises a data acquisition and storage module, a source domain model construction module, a target domain feature extraction module, a transfer learning module and a path planning and evaluation module. The data acquisition and storage module is used for collecting and storing historical case data. The source domain model construction module is used for training a source domain electroencephalogram decoding experience model and establishing a mapping relationship between brain structure characteristics and expected neural signal quality. The target domain feature extraction module is used for extracting features of preoperative multi-modal brain images of a new patient to obtain target domain brain structure characteristics. The transfer learning module is used for adaptively transferring the source domain electroencephalogram decoding experience model to the target domain to generate a target domain adaptive model. The path planning and evaluation module is used for generating a personalized implantation path planning scheme. The intraoperative feedback and postoperative backflow module is used for triggering online re-planning according to changes in a surgical environment, feeding actual implantation parameters and signal quality data back into the data acquisition and storage module and realizing continuous updating of a knowledge base. The application promotes the standardization and intelligentization of surgery.

The invention discloses an operation simulation method and device based on an electronic medical record and a storage medium, and belongs to the technical field of data processing. Comprising the steps of generating an initial operation scheme through an operation planning model according to operation information and a three-dimensional electronic medical record and / or clinical detection data of a user, defining at least two optimization objectives according to the operation information, constructing a multi-objective optimization problem containing the optimization objectives, and performing multi-objective optimization on the multi-objective optimization problem through a co-evolution algorithm. Based on a preset search direction and an initial operation scheme, solving the multi-objective optimization problem to obtain a candidate scheme population, simulating the candidate scheme population, calculating the fitness of the candidate scheme population according to a simulation result, and updating the search direction of the coevolution algorithm according to the candidate scheme population and the fitness, or updating the search direction of the coevolution algorithm according to the candidate scheme population and the fitness. And generating a target operation scheme based on the candidate scheme population. According to the co-evolution algorithm, dynamic balance is realized in multiple optimization targets of operation simulation, and the reliability of operation simulation decision is improved.

The invention relates to the technical field of data analysis, in particular to a hepatobiliary surgery planning and real-time navigation aided decision-making system, which ensures the authenticity of decision-making basis through real-time hardness online verification and function atlas correction. Operation planning is dynamically optimized with functional safety as a base line, and postoperative hepatic failure is prevented; the instrument distance, the function weight and the real-time hardness are fused to generate an intelligent risk navigation instruction, so that the hepatobiliary surgery is improved from traditional dissection guidance to functional intelligent navigation, and the safety and accuracy of the surgery are remarkably improved; scientific planning and real-time navigation aided decision making of the hepatobiliary surgery are achieved.

The invention relates to the technical field of medical treatment, in particular to an intraoperative solution mode dynamic planning method and system for partial knee arthroplasty. The method comprises the following steps: acquiring medical image data of a knee joint of a patient, and performing bone surface three-dimensional reconstruction and initial prosthesis planning; during the operation, the skeleton anatomy is mapped to the virtual three-dimensional model through the registration process; applying distraction force during flexion and extension of the knee joint, and calculating a contact point track, a gap and a dynamic angle between the thighbone prosthesis and the tibia prosthesis in real time; and according to comparison between the parameters and preset safety parameters, generating a surgical planning adjustment suggestion. Through dynamic real-time evaluation and intelligent adjustment, the defect that a traditional operation depends on static planning and doctor experience is overcome, the operation precision, repeatability and safety are improved, the method is suitable for robot-assisted partial knee joint replacement, postoperative complications can be effectively reduced, and patient prognosis can be improved.

The application discloses a surgical path planning method, system, device, medium and surgical operation system, and the method comprises the steps of constructing a digital twin human body model based on the associated parameters of a target object; acquiring the current contour information of the target object to construct a human body three-dimensional model; registering the digital twin human body model and the human body three-dimensional model to obtain a registration result; determining an initial surgical path planning of a target organ in the digital twin human body model; and converting the initial surgical path planning into a target surgical path planning corresponding to the target organ in the human body three-dimensional model. The application adopts an interventional surgery planning based on a 3D digital twin human body model of a meta universe, effectively improves the accuracy and efficiency of the determination of the interventional surgery path planning, guarantees the safety and reliability of subsequent actual surgery execution, simplifies the whole work flow of the interventional surgery from surgery planning to surgery execution, improves the visual sense and experience of the doctor in surgery planning, and avoids unnecessary errors and radiation hazards.

The invention discloses a 3D printing ABS bone model for ankle joint operation plan reproduction and postoperative form prediction, and aims to solve the problem that an existing three-dimensional bone model can only display a preoperative anatomical structure and cannot visually display an operation plan and a postoperative bone form. According to the method, bone structure reconstruction is carried out based on preoperative three-dimensional imaging data of a patient, after a doctor selects an operation scheme, a three-dimensional model of an ankle joint postoperative bone structure is generated through parameterized simulation of osteotomy, rotation and correction processes, and the three-dimensional model is materialized with an ABS photosensitive resin material by adopting a photocuring 3D printing technology. Postoperative bone forms and related operation adjustment information can be displayed in the model and are used for assisting preoperative diagnosis, operation planning, doctor-patient communication and intraoperative reference. The preparation process is clear, the cost is controllable, and the preparation method has good clinical application prospect and popularization value.

1. Name of the product in this design: Holographic Surgical Planning Interactive Machine. 2. Purpose of this design: To overlay the patient's preoperative CT / MRI and other 3D image data onto the surgical field in real time using holographic display technology, assisting doctors in precise positioning and operation. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The embodiment of the application is suitable for the technical field of computer-aided medical treatment, and provides an orthopedic surgery robot system and an intraoperative planning method for orthopedic surgery. The system is connected with a pressure sensor and comprises a data acquisition module, a data processing module and a display feedback module. The data acquisition module is used for acquiring flexion and extension data of a patient's leg. The data processing module is used for receiving pressure data of the patient's knee joint collected by the pressure sensor, and generating intraoperative planning information based on the flexion and extension data and the pressure data. The display feedback module is used for displaying the intraoperative planning information and guiding a surgeon to perform total knee arthroplasty on the patient. By using the above system, dynamic, automatic and accurate adjustment of intraoperative surgery planning can be realized, the dependence on the personal experience of the surgeon is reduced, and the effect of soft tissue balance and the success rate of surgery are improved.

The invention provides an intelligent corneal transplantation operation planning and postoperative management system, and the system comprises a model construction module which is used for collecting the preoperative multi-modal eye image data of a patient, and constructing a three-dimensional digital twinborn body; the preoperative planning module is used for generating a corresponding operation scheme through analogue simulation based on the three-dimensional digital twin and generating a recovery trajectory prediction model; the intra-operation correction module is used for collecting multi-mode eye image data in the operation in real time, dynamically updating the three-dimensional digital twin body, correcting an operation scheme and recovering a trajectory prediction model; and the postoperative monitoring module is used for periodically collecting self-examination data of the patient, inputting the self-examination data into the recovery trajectory prediction model to calculate the deviation probability of the self-examination data and the prediction data, and automatically generating a risk level assessment report. According to the method, the eye digital twins are constructed and updated in real time, so that accurate planning and intelligent monitoring of the whole process of the operation are realized, and the operation safety and the postoperative rehabilitation quality are improved.

Systems and methods for improved surgical planning are disclosed herein. A processor may determine an optimized planning group based on planning group definitions and historical surgeon data through the use of a machine learning classification algorithm. The processor may further receive patient data comprising anatomical landmarks and surfaces, pre-operative deformity measurements, range of motion measurements, and gap data. The processor may generate optimized implant parameters based on the optimized planning group and the patient data using a machine learning model. The optimized implant parameters may include size, position, and orientation parameters for each of a femoral implant and a tibial implant. The processor may further generate a surgical plan based on the optimized implant parameters.