20 results about "Surgical team" patented technology

The invention discloses a hip joint surgical robot grinding and rubbing detection system and a detection tool thereof, and relates to the technical field of medical instruments. The device comprises a bottom plate and a grinding and rubbing assembly, a hip model assembly is fixedly connected to one side of the top of the bottom plate, an acetabular fossa model assembly is fixedly connected to the other side of the top of the bottom plate, and a tracer support is fixedly connected to the position, located at the rear end of the acetabular fossa model assembly, of the top of the bottom plate. The grinding and rubbing precision can be monitored in real time in the operation process, immediate feedback is provided, an operation team can find and correct errors in the grinding and rubbing process in time, the success rate of the operation is increased, tiny grinding and rubbing errors can be detected by accurately measuring the ball center position of the grinding and rubbing contour, it is ensured that the surgical robot achieves high-precision grinding and rubbing operation, and the working efficiency is improved. Multiple times of X-ray or CT scanning needed by traditional postoperative imaging evaluation are avoided, the radiation risk of a patient is reduced, the grinding and rubbing precision detection process is simplified, the operation time is shortened, and the operation complexity is reduced.

An aspect includes a computer-implemented method that associates surgical data with a first surgeon in a surgical team and detects a selection of a surgeon exchange control through a user interface during a surgical procedure. Based on the selection, an association of the surgical data with a second surgeon in the surgical team is created for subsequently collected surgical data. Surgical data captured during the surgical procedure and associations may be provided to an analysis engine to determine a surgical analysis for each of the first surgeon and the second surgeon.

Systems, devices and methods are provided for controlling surgical instruments remotely, such as in a robotic surgery system. One such robotic surgical system comprises a manipulator assembly having a support structure and one or more manipulators for the surgical instruments coupled to the support structure. Each of the manipulators have a remote center of motion which may be aligned with the incision point for the instrument being controlled by that manipulator. The system includes a controller configured to generate a central target position over a surgical site and a regulator mechanism for limiting a range of motion of the manipulators relative to the central target position. The system further includes an actuator for intraoperatively unlocking or releasing the central target position to move at least one of the manipulators to a location outside of its range of motion. This allows the central target position to be quickly and easily adjusted before or during the procedure by shifting the working space of the manipulators, which decreases the overall time of the procedure and increases the efficiency of the surgical team, while avoiding potential collisions between the instruments and / or the manipulators.

The invention belongs to the technical field of medical apparatus and instruments, and discloses an angle-adjustable carbon fiber support convenient for intraoperative fluoroscopy, the angle-adjustable carbon fiber support convenient for intraoperative fluoroscopy comprises a supporting seat and a placing plate, an adjusting structure is arranged in the supporting seat, and a clamping structure is arranged on one side of the placing plate. By means of the adjusting structure, angle adjustment can be accurate and flexible, and multi-angle adjustment such as normal position 90 degrees and internal rotation 15 degrees can be accurately achieved through cooperation of the gear and the tooth groove in combination with the pointer and the scale groove. No matter the requirements of conventional normal position perspective, internal rotation and external rotation at special angles and the like are met, rapid adaptation can be achieved, image collection in an operation is more accurate, a doctor is assisted to clearly observe structural details such as bones and joints, diagnosis, study and judgment time is shortened, operation efficiency is improved, the supporting base and the placing plate made of crystal carbon fibers are free of perspective blocking, imaging is clear, and the operation efficiency is improved. Image blurring caused by material interference is avoided, repeated perspective operation is reduced, the radiation exposure risk of a patient is reduced, an operation team can obtain effective image information more efficiently, and actual application and operation are facilitated.

Various of the disclosed embodiments relate to systems and methods for processing surgical data to facilitate further downstream operations. For example, some embodiments may include machine learning systems trained to recognize whether video from surgical visualization tools, such as endoscopes, depicts a field of view inside or outside the patient body. The system may excise or whiteout frames of video appearing outside the patient so as to remove potentially compromising personal information, such as the identities of members of the surgical team, the patients identity, configurations of the surgical theater, etc. Appropriate removal of such non-surgical data may facilitate downstream processing, e.g., by complying with regulatory requirements as well as by removing extraneous data potentially inimical to further downstream processing, such as training a downstream classifier.

Various embodiments disclosed relate to systems and methods for processing surgical data to facilitate further downstream operations. For example, some embodiments can include a machine learning system trained to identify whether video from a surgical visualization tool, such as an endoscope, depicts a field of view inside or outside a patient’s body. The system can crop or whiten video frames that appear outside the patient to remove potentially leaking personal information, such as the identity of surgical team members, the identity of the patient, the configuration of the surgical room, etc. Proper removal of such non-surgical data can facilitate downstream processing, for example, by complying with regulatory requirements and by removing irrelevant data that can be detrimental to further downstream processing, such as training downstream classifiers.

Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

The invention relates to the technical field of medical information, in particular to an operation duration prediction method and system for deep expression of a cooperation relation and a storage medium, and the method comprises the steps: constructing a heterogeneous graph according to processing data, and defining node types and various relation edge connections in the heterogeneous graph; designing a heterogeneous graph neural network model, inputting the heterogeneous graph into the heterogeneous graph neural network model, aggregating neighborhood information through a multi-layer information transfer mechanism, and finally generating operation node feature representation; and based on the operation node feature representation, predicting the preparation stage duration, the operation stage duration and the recovery stage duration of the operation, and carrying out reverse normalization and effect evaluation on a prediction result to obtain an operation duration prediction model. According to the method, the cooperation relation between medical staff is deeply expressed through the heterogeneous graph structure, a team cooperation mode is fully learned by using a message passing mechanism of the graph neural network, the problem that a traditional method cannot effectively model the complex interaction relation of an operation team is solved, and the accuracy and practicability of operation duration prediction are remarkably improved.

A method and system for monitoring workflow of different surgical teams performing surgical procedures. The example system provides centralized task lists for each team member or each surgical team. The example system provides communication channels between team members. Finally, the example system allows collection of time data relating to completion of tasks for follow up analysis of workflow. The collected data is used to provide analytical reports to reduce turnover time between surgical procedures.

The present invention patent discloses a laminar flow ceiling with zoned and different-temperature air supply in an operating room, including a high-temperature air supply area and a low-temperature air supply area, which form a laminar flow ceiling box. The laminar flow ceiling box includes four boxes, which are provided with partitions, which separate the laminar flow ceiling box into a high-temperature air supply area and a low-temperature air supply area. High-efficiency filters are provided in the high-temperature air supply area and the low-temperature air supply area, and the high-efficiency filters are provided above the air outlet surface. A uniform flow layer is provided between the high-efficiency filters and the air outlet surface, and the uniform flow layer makes the air supplied from the high-temperature air supply area and the low-temperature air supply area more uniform. The present invention patent solves the problem that when the traditional laminar flow ceiling in an operating room is in use, the air supply temperature in the operating room only meets the requirements of the surgical team members, but does not meet the requirements of the surgical patients, causing the patients to suffer from hypothermia.

Various disclosed embodiments provide systems and methods for evaluating surgical team performance during non-operational periods within a surgical site. Specifically, one or more sensors disposed throughout a surgical site may acquire data during non-operational periods, and in some embodiments, data may be acquired at several times of procedures and non-operational periods within the site. The disclosed embodiments segment and analyze the data to infer undesirable or inefficient behavior over non-operational periods between surgical procedures, as well as to improve the progression of behavior. Systems and methods for evaluating various topologies and metrics for non-operating periods, as well as for monitoring and providing feedback are also disclosed.

Systems and methods for analysis and review of surgical videos are disclosed. The systems and methods may include analyzing video frames of prior surgical procedures performed by a particular surgeon to ascertain a skill level of the particular surgeon; accessing a data structure containing patient characteristics associated with the prior surgical procedures; accessing a surgical schedule including prospective surgical procedures overlapping in time; obtaining patient characteristics associated with the prospective surgical procedures; analyzing the plurality of video frames to ascertain an expected amount of time for the particular surgeon to perform a particular prospective surgical procedure; determining requirements for particular prospective surgical procedure; determining whether the particular surgeon meets the requirements; and outputting an indicator that the particular surgeon meets the requirements.

A method for judging the precision of brain-computer interface implantation based on image and electroencephalogram signal combination belongs to the field of biological cross-research. By combining image processing technology and fine electroencephalogram signal analysis, the accuracy of electrode implantation is evaluated from two independent and complementary angles. Compared with the traditional method which relies on postoperative histological analysis, the present application provides multiple real-time feedback mechanisms, significantly improving the accuracy and reliability of electrode positioning during surgery. This technical innovation not only shortens the operation time and reduces the operation risk, but also improves the success rate of the entire operation process. Through real-time image and signal analysis, the surgical team can immediately adjust the operation strategy and optimize the electrode implantation path to ensure that the electrode accurately reaches the target brain area. In addition, the present application avoids the delay and uncertainty of relying on postoperative section analysis, so that the correctness of the electrode position can be confirmed during the operation, enhancing the overall safety and effectiveness of brain-computer interface surgery.

The invention relates to a system and method for surgical data review. Various disclosed embodiments relate to systems and methods for processing surgical data to facilitate further downstream operations. For example, some embodiments may include a machine learning system trained to identify whether a video from a surgical visualization tool, such as an endoscope, depicts a field of view within or outside a patient's body. The system may cut or whiten video frames appearing outside the patient to remove personal information that may be leaked, such as the identity of a surgical team member, the identity of the patient, the configuration of the surgical operating room, and the like. Appropriate removal of such non-surgical data may facilitate downstream processing, for example, by complying with regulatory requirements and by removing irrelevant data that may be disadvantageous for further downstream processing, such as training a downstream classifier.

Medical software tools platform utilizes a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist those in the operating room, such as a surgeon or surgical team, with a surgery. In particular, an optical sensor located within an endoscopic camera may register the momentary change in the optical characteristics reflected from a tissue surface and in turn transmit the information to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures and the speed of change may indicate subsurface anomalies.

Various disclosed embodiments provide systems and methods for associating and presenting operating room playback data in order to facilitate more insight analysis and feedback. Specifically, various embodiments present kinematics and system event data collected during surgery, as well as wider operating room context data that can be captured by, for example, a visual imaging system or a depth imaging system within an operating room. In this manner, the auditor can more easily cross-reference data types during playback, differentiating inefficient and one-time anomalous events that persistently affect surgical outcomes. Identifying such distinctions can facilitate the auditor to provide more executable feedback to members of the surgical team. Metrics for assessing surgical performance using cross-reference data are also disclosed.

Medical software tools platform utilizes a surgical display to provide access to specific medical software tools, such as medically oriented applications or widgets, that can assist those in the operating room, such as a surgeon or surgical team, with a surgery. For various embodiments, the medical software tools platform and its associated medical software tools are presented on a surgical display (e.g., being utilized in an operating room) over an image stream provided by a surgical camera (e.g., in use in the operating room or with other endoscopic procedures). Various medical software tools can provide features and functions that can facilitate integration of equipment in an operating room or add medical context awareness to anatomic structures presented in the image stream from the surgical camera and provide archived information pertaining to the same.

The present application relates to the field of medical information technology, and more particularly to a surgical duration prediction method and system based on deep expression of cooperation relationship and a storage medium, comprising: constructing a heterogeneous graph according to processing data, defining node types and multiple relationship edges in the heterogeneous graph; designing a heterogeneous graph neural network model, inputting the heterogeneous graph into the heterogeneous graph neural network model, aggregating neighborhood information through a multi-layer information transmission mechanism, and finally generating a surgical node feature representation; based on the surgical node feature representation, predicting the preparation stage duration, operation stage duration and recovery stage duration of the surgery, and performing inverse normalization and effect evaluation on the prediction results to obtain a surgical duration prediction model. The present application deeply expresses the cooperation relationship between medical staff through a heterogeneous graph structure, fully learns the team cooperation mode by using the message passing mechanism of the graph neural network, solves the problem that the traditional method cannot effectively model the complex interaction relationship of the surgical team, and significantly improves the accuracy and practicality of the surgical duration prediction.

Medical software tools platform utilizes a surgical display to provide access to specific medical software tools, such as medically-oriented applications or tools, that can assist those in the operating room, such as a surgeon or surgical team, with a surgery. In particular, an optical sensor located within an endoscopic camera may register subtle differences in color characteristics reflected from a tissue surface and in turn transmit the information to a medical image processing system. Moreover, the new tools are intended to help surgeons better determine the boundaries between healthy and diseased regions during surgical procedures. Various tools are intended to be used in procedures where indocyanine green (ICG) fluorescent dye is used. Intraoperative fluorescence imaging is commonly used during minimally invasive procedures to enable surgeons to visualize tissue perfusion and anatomical structures. The term perfusion refers to the passage of blood and tissue fluid through the capillary bed. Intraoperative fluorescence imaging can also be used to improve visualization of vessels and structures, which, in turn, may reduce the risk of complications during minimally invasive surgeries.

The invention relates to the technical field of placenta implantation risk assessment, and particularly discloses a placenta implantation risk assessment system based on data analysis, which comprises a data integration module, a data extraction module, a data analysis module and a data screening module, and is characterized in that placenta implantation data of a to-be-delivered maternal body is extracted based on image data of the to-be-delivered maternal body; the preoperative examination data of the to-be-delivered maternal body is combined to predict the bleeding amount of the to-be-delivered maternal body in the operation; therefore, the safety and the management efficiency in the operation can be improved, the improvement of the doctor-patient relationship and the progress of the medical technology can be promoted, and the system is an indispensable important component in modern obstetrical management, can help doctors to formulate personalized operation schemes in advance, and can improve the operation efficiency of the maternal to be delivered. Comprising the steps of estimation of blood reserve, configuration of an operation team and preparation of emergency response measures, so that the perinatal death rate and the complication occurrence rate of a maternal body are remarkably reduced.