51 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 an auxiliary operation positioning system based on AI intelligent navigation, and the system comprises an image data collection module which is used for obtaining the original image data and operation planning information of an operation part of a patient; the navigation model construction module is used for constructing a three-dimensional navigation model based on the original image data and generating a target key point and a target path through a preset AI model based on the operation planning information; the positioning and tracking module is used for acquiring the position information of the surgical instrument in real time in the surgical process and mapping the position information into the three-dimensional navigation model; and the real-time positioning correction module is used for acquiring continuous image frames acquired by the surgical instrument in real time, acquiring intraoperative motion deviation through optical flow estimation based on real-time image data, and correcting the target key point and the target path based on the intraoperative motion deviation. According to the method, the intraoperative motion deviation is obtained in real time through optical flow estimation, target positioning is corrected, and the accuracy and reliability of operation positioning can be improved through the real-time dynamic correction mechanism.

The invention provides a maxillofacial operation planning navigation method and system, relates to the technical field of operation planning navigation, and solves the technical problems that the existing maxillofacial operation planning navigation method cannot adapt to the change of an intraoperative anatomical structure due to a preoperative planning static state, and the intraoperative navigation efficiency and precision are insufficient. The method specifically comprises the following steps: acquiring first image data of a to-be-operated region; preprocessing the first image data based on an image processing algorithm to determine second image data; performing three-dimensional reconstruction and segmentation on the second image data to obtain a three-dimensional data model; analyzing the three-dimensional data model through an AI intelligent auxiliary diagnosis model, and generating a diagnosis report; inputting the three-dimensional data model and the diagnosis report into a two-channel model, and outputting an operation path scheme and a bone fracture plate scheme; in the operation, non-rigid registration is adopted to compensate real-time deformation delay for first image data before the operation and in the operation, and an AR real-time navigation technology is combined to realize maxillofacial operation planning navigation. The method is used for maxillofacial surgery planning navigation.

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.

Embodiments of the present application provide an interventional medical system and a control method therefor. The system comprises an interventional surgical robot and a processor. The interventional surgical robot comprises a mechanical arm and an end effector. The processor is configured to: acquire surgical plan information in an intervention mode, and on the basis of the surgical plan information, plan a moving path of the end effector in the intervention mode. The intervention mode is any one of an online mode and an offline mode, and the surgical plan information at least comprises a plurality of operation positions.

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.

1. The name of the design product: surgical planning graphical user interface for electronic device. 2. The use of the design product: an electronic device, such as a medical instrument device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface can be used in a medical instrument device, such as with laser treatment, to design a surgical plan on a sequence of images. In the design 5 front view, move the controller (such as a mouse, touch pen, etc.) into the box in the lower right to display design 5 change state figure 1. In the design 6 front view, click the "surgical view" button in the lower right to display design 6 change state figure. In the design 7 front view, click the "sequence registration" button in the upper right to display design 7 change state figure. In the design 8 front view, click the "fusion" button on the right to display design 8 change state figure. In the design 9 front view, click the "fusion" button on the right to display design 9 change state figure 1, and in design 9 change state figure 1, click the "3D model display" button on the right to display design 9 change state figure 2. In the design 10 front view, click the "fusion" button on the right to display design 10 change state figure 1, and in design 10 change state figure 1, click the "3D model display" button on the right to display design 10 change state figure 2, and in design 10 change state figure 2, click the "fiber tract reconstruction" button on the right to display design 10 change state figure 3.

The invention relates to the technical field of real-time body temperature prediction, in particular to a perioperative low-body-temperature real-time prediction model based on multi-modal data and deep learning, which is characterized in that a large amount of performed operation data is collected in advance by establishing an intelligent auxiliary system, and the data comprises preoperative information, intraoperative information and postoperative data; the health condition of the patient is comprehensively analyzed; after collected preoperative health data of a patient, historical operation records and ASA classification standards are combined through the system, the probability of occurrence of hypothermia of the patient in the operation process can be accurately predicted, a risk score or probability of occurrence of hypothermia can be provided, doctors can be helped to consider the factor when making an operation plan, and the probability of occurrence of hypothermia can be accurately predicted. By combining the environment data with the real-time data of the physical signs of the patient, the occurrence risk of the hypothermia in the operation of the patient can be better evaluated, a doctor can be assisted in adjusting the warm keeping measures in the operation in time, and a safer and more comfortable operation environment is provided for the patient.

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 discloses an AI intelligent ordering system and method, and relates to the technical field of medical operation consumable management. The system comprises a data acquisition module, a knowledge graph engine, a state recognition module, an intelligent recommendation module, a doctor interaction terminal and an instruction execution module. Before an operation, the system is accessed to a hospital HIS system to obtain patient information and an operation plan, and a consumable candidate set is preloaded in combination with a knowledge graph; in the operation, information is collected through a multi-modal data source, unified modeling is conducted through a tensor fusion network, the operation progress and the next step are predicted through a convolutional neural network, time sequence modeling, a graph neural network and time sequence attention, and a knowledge graph engine and an intelligent recommendation module are called to determine recommended consumables; a doctor triggers an order placing instruction after confirmation through the terminal, and the postoperative system compares actual use with recommendation records for model optimization. According to the method, the consumable matching efficiency and precision are improved, the supply chain response is optimized, and closed-loop data tracing is realized.

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.

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 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.

Methods, non-transitory computer readable media, and surgical computing devices are illustrated that improve surgical planning using machine learning. With this technology, a machine learning model is trained based on historical case log data sets associated with patients that have undergone a surgical procedure. The machine learning model is applied to current patient data for a current patient to generate a predictor equation. The current patient data comprises anatomy data for an anatomy of the current patient. The predictor equation is optimized to generate a size, position, and orientation of an implant, and resections required to achieve the position and orientation of the implant with respect to the anatomy of the current patient, as part of a surgical plan for the current patient. The machine learning model is updated based on the current patient data and current outcome

1. Name of the product of this design: Surgical control graphical user interface for electronic equipment. 2. Purpose of this design product: an electronic device. 3. The key design point of this product lies in the graphical user interface displayed on the screen. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: Used to import and modify 3D guide surgical plans during surgical control. The main view is the graphical user interface for importing 3D guide plans. After adding a puncture needle, the main view enters interface change state diagram 1, which is used to present the corresponding mapping relationship between the puncture needle number and the puncture needle implantation sequence number. After selecting the implantation channel and setting the particle placement plan, interface change state diagram 1 enters interface change state diagram 2, which is used to present the corresponding mapping relationship between the puncture needle number, puncture needle implantation sequence number and channel number, as well as detailed information on particle placement.

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 present application provides a surgical planning method, device, medical system, and computer-readable storage medium. The method includes: obtaining medical imaging data of a patient's skull and a three-dimensional model of a medical device; performing three-dimensional skull reconstruction based on the medical imaging data to obtain a three-dimensional skull model of the patient; screening the implantation position of the medical device based on the three-dimensional device model and the three-dimensional skull model to obtain a set of candidate positions and screening information corresponding to each candidate position during the screening process; calculating the implantation score corresponding to each candidate position based on the screening information of each candidate position, and determining whether the patient meets the surgical conditions based on the implantation score; generating a prompt message and sending it to a terminal device to prompt the doctor whether the patient meets the surgical conditions. The present application can accurately assess whether a patient is suitable for medical device implantation surgery.

The application provides an intelligent ophthalmic surgery collaborative system, method and equipment based on real-time digital twin and multi-modal physiological perception, current multi-modal image data and current physiological parameter data of a patient's eyeball are acquired through a multi-modal real-time perception module to provide a basis for accurate perception of surgery; a current patient's eyeball digital twin, current surgery planning information, a current fusion visual scene and a current motion control instruction are acquired through a system control hub module to achieve surgery planning and dynamic optimization; the current fusion visual scene is received and displayed through an immersive human-computer interaction module to provide an intuitive interaction interface for a doctor; and a corresponding eyeball surgery operation is performed according to the current motion control instruction through a high-precision surgery execution module. Through the collaborative work of the above modules, the technical problems that the prior art lacks real-time synchronous perception of the overall and microstructure of surgery, automatically generates and dynamically optimizes a surgery strategy, efficiently interacts with a doctor with an intuitive surgery picture, and can drive a robot to accurately execute are solved.

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.

The invention relates to the technical field of crossing of orthopedic medical instruments and biomedical engineering, and discloses a knee joint personalized prosthesis appearance and implantation orientation modulation method and system based on anatomy-motion-dynamics contradiction resolution, and the method comprises the steps: constructing an energy functional of a skeleton-ligament-prosthesis system based on a minimum potential energy principle; knee joint motion features and ligament elasticity features are analyzed to serve as drive and constraint of the personalized skeleton-ligament-prosthesis three-dimensional point cloud model, and prosthesis parameters are iteratively optimized to solve the contradiction between anatomy and kinematics; establishing a muscle-bone (muscle-bone) model of a personalized prosthesis-knee joint, performing inverse kinematics and finite element coupling simulation, and aiming at minimizing joint load, muscle energy consumption and contact stress, eliminating dynamic contradiction; in combination with intraoperative morphology, kinematics, soft tissue elasticity and other multi-source information, personalized prosthesis assembly scheme optimization and surgical planning optimization are achieved, and knee joint replacement is promoted to be converted from empirical surgery to analytic surgery.

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 present invention discloses a method and system for planning tumor ablation puncture surgery, which relates to the field of medical image processing technology, including obtaining multimodal image data of the tumor area and preprocessing it, fusing the preprocessed multimodal image data using an image fusion algorithm to generate a fused image, automatically annotating the tumor area based on the fused image using image segmentation technology, and manually correcting the segmentation result by a doctor, selecting the optimal puncture path through design and simulation based on the fused image with tumor annotation, accurately aligning the model with the actual position of the tumor using spatial positioning technology based on the fused image and an augmented reality device, generating an AR view, and using the AR view as a guide, performing the ablation operation with the puncture needle along the optimal puncture path. The present invention achieves high precision and visualization of the entire process from image acquisition to surgical implementation through high-quality imaging and three-dimensional guidance, significantly improving the safety and success rate of the surgery.

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 application provides a surgical planning device, a surgical planning method, a medical system, and a computer-readable storage medium for implanting a medical device into a patient's head. The surgical planning device includes a memory and at least one processor, the memory storing a computer program, and the at least one processor being configured to implement the following steps when executing the computer program: acquiring medical imaging data of the patient's skull; performing a three-dimensional reconstruction of the patient's skull based on the medical imaging data to obtain a three-dimensional reconstruction result, the three-dimensional reconstruction result including a skull thickness distribution result; and acquiring an implantation point for the medical device on the patient's skull based on the skull thickness distribution result and a preset thickness screening condition. The present application utilizes the individual patient's skull thickness distribution to quickly and accurately select implantation points, thereby improving the accuracy and efficiency of treatment.