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11.发明授权公开(公告)号：US11883312B2
公开(公告)日：2024-01-30
申请号：US17899687
申请日：2022-08-31
IPC分类号： A61F5/00 , A61B34/10 , G06N20/00 , G05B19/4155 , A61B17/32 , A61B17/068 , G06V20/40 , A61B1/00 , G06F18/21 , G06V10/70 , A61B17/00
CPC分类号： A61F5/0076 , A61B1/000096 , A61B17/068 , A61B17/320016 , A61B17/320092 , A61B34/10 , G05B19/4155 , G06F18/217 , G06N20/00 , G06V10/70 , G06V20/41 , A61B2017/00061 , A61B2017/00119 , A61B2017/00199 , A61B2017/00212 , A61B2017/320082 , A61B2017/320095 , A61B2034/107 , G05B2219/36414 , G06V2201/034
摘要： The present disclosure relates to systems and methods that use computer-vision processing systems to improve patient safety during surgical procedures. Computer-vision processing systems may train machine-learning models using machine-learning techniques. The machine-learning techniques can be executed to train the machine-learning models to recognize, classify, and interpret objects within a live video feed. Certain embodiments of the present disclosure can control (or facilitate control of) surgical tools during surgical procedures using the trained machine-learning models.
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公开(公告)号：US11615884B2
公开(公告)日：2023-03-28
申请号：US16294576
申请日：2019-03-06
发明人： Danail Stoyanov , Petros Giataganas , Piyamate Wisanuvej , Paul Riordan , Imanol Luengo Muntion , Jean Nehme
IPC分类号： G06F3/01 , G09B9/00 , G09B23/28 , G16H40/63 , G16H50/70 , G06F16/22 , G06N5/02 , G16H10/60 , G16H30/40 , G06V20/40
摘要： A computer implemented method is provided for a virtual training system. A virtual surgical simulation associated with a type of surgical procedure is accessed. Image data associated with a controller and a workspace is received. Controller data corresponding to a controller interaction is received. A first interaction of the controller within the workspace based on at least one of the image data and the controller data is determined. Using the set of one or more transformation rules, the first interaction of the controller is transformed to a manipulation of a virtualized surgical tool in the virtual surgical simulation. A representation is output of the manipulation of the virtualized surgical tool.
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13.发明授权公开(公告)号：US11446092B2
公开(公告)日：2022-09-20
申请号：US16933454
申请日：2020-07-20
IPC分类号： A61B34/10 , G06K9/62 , G06N20/00 , G05B19/4155 , A61F5/00 , A61B17/32 , A61B17/068 , G06V20/40 , A61B17/00
摘要： The present disclosure relates to systems and methods that use computer-vision processing systems to improve patient safety during surgical procedures. Computer-vision processing systems may train machine-learning models using machine-learning techniques. The machine-learning techniques can be executed to train the machine-learning models to recognize, classify, and interpret objects within a live video feed. Certain embodiments of the present disclosure can control (or facilitate control of) surgical tools during surgical procedures using the trained machine-learning models.
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公开(公告)号：US11189379B2
公开(公告)日：2021-11-30
申请号：US16292108
申请日：2019-03-04
IPC分类号： G16H40/63 , G16H50/70 , G06F16/22 , G06K9/00 , G06N5/02 , G06F3/01 , G09B9/00 , G09B23/28 , G16H10/60 , G16H30/40
摘要： The present disclosure relates to processing data streams from a surgical procedure using multiple interconnected data structures to generate and/or continuously update an electronic output. Each surgical data structure is used to determine a current node associated with a characteristic of a surgical procedure and present relevant metadata associated with the surgical procedure. Each surgical data structure includes at least one node interconnected to one or more nodes of another data structure. The interconnected nodes between one or more data structures includes relational metadata associated with the surgical procedure.
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公开(公告)号：US20190279765A1
公开(公告)日：2019-09-12
申请号：US16292108
申请日：2019-03-04
摘要： The present disclosure relates to processing data streams from a surgical procedure using multiple interconnected data structures to generate and/or continuously update an electronic output. Each surgical data structure is used to determine a current node associated with a characteristic of a surgical procedure and present relevant metadata associated with the surgical procedure. Each surgical data structure includes at least one node interconnected to one or more nodes of another data structure. The interconnected nodes between one or more data structures includes relational metadata associated with the surgical procedure.
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公开(公告)号：US09922172B1
公开(公告)日：2018-03-20
申请号：US15495546
申请日：2017-04-24
发明人： Omar Alvi , Andre Chow , James Kellerman , James Liu , Danail Stoyanov
CPC分类号： G06K9/00718 , A61B5/0013 , A61B34/25 , A61B90/361 , A61B2034/252 , A61B2034/254 , A61B2034/256 , A61B2034/258 , A61B2090/372 , A61B2090/373 , A61B2090/502 , A61B2560/0487 , A61B2576/00 , G06F19/321 , G06F19/324 , G06F19/3481 , G06K9/00765 , G06K2209/05 , G06K2209/27 , G11B27/34 , G16H15/00 , G16H20/40 , G16H40/67 , G16H50/50 , G16H70/20 , H04L67/12 , H04L67/2804 , H04N5/77 , H04N5/9201
摘要： In some embodiments, surgical data structure is accessed that includes a plurality of nodes (relating to a plurality of discrete procedural states for a surgical procedure and being associated with procedural metadata) connected by a plurality of edges. Each edge can be associated with a procedural action causing a state transition. A new node can be generated based on an identification of a new procedural state. A first and second node from the plurality of nodes can be identified, to which the new node is to be connected. Edges can be generated to connect the new node to the first and second nodes.
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公开(公告)号：US20240252263A1
公开(公告)日：2024-08-01
申请号：US18561158
申请日：2022-06-14
CPC分类号： A61B34/30 , A61B1/000096 , A61B17/00 , A61B34/20 , A61B34/25 , A61B90/37 , A61B2017/00119 , A61B2017/00128 , A61B2017/00725 , A61B2034/2065 , A61B2034/252 , A61B2034/254 , A61B2090/365 , A61B2090/371
摘要： Techniques are described for improving computer-assisted surgical (CAS) systems. A CAS system includes endoscopic cameras that provide video stream of a surgical procedure. The CAS system also includes surgical instruments to perform one or more surgical actions. According to one or more aspects key points of the surgical instruments, such as tips, joints, etc., are automatically detected in the video stream. The detected key points are used to determine poses of the surgical instruments. In some aspects, detection of the instruments and estimation of poses of the respective instruments are performed concurrently.
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公开(公告)号：USD1036499S1
公开(公告)日：2024-07-23
申请号：US29847464
申请日：2022-07-25
设计人： Anthony J. Inwood
摘要： FIG. 1 is a front view of a portion of a display screen with a graphical user interface showing my new design in accordance with a first embodiment; and,
FIG. 2 is an enlarged view of the portion of a display screen with a graphical user interface showing my new design as indicated in the section of FIG. 1.
The broken lines showing a portion of a display screen form no part of the claimed design. The remaining broken lines showing portions of the graphical user interface form no part of the claimed design. The dot-dash broken lines show an enlarged view of FIG. 1 and form no part of the claimed design.-
公开(公告)号：USD1036497S1
公开(公告)日：2024-07-23
申请号：US29847460
申请日：2022-07-25
设计人： Anthony J. Inwood
摘要： FIG. 1 is a front view of a portion of a display screen with a graphical user interface showing my new design in accordance with a first embodiment; and,
FIG. 2 is an enlarged view of the portion of a display screen with a graphical user interface showing my new design as indicated in the section of FIG. 1.
The broken lines showing a portion of a display screen form no part of the claimed design. The remaining broken lines showing portions of the graphical user interface form no part of the claimed design. The dot-dash broken lines show an enlarged view of FIG. 1 and form no part of the claimed design.-
公开(公告)号：US20240206989A1
公开(公告)日：2024-06-27
申请号：US18561756
申请日：2022-03-18
发明人： Imanol Luengo Muntion , Danail Stoyanov , Andre Chow , Petros Giataganas , Maria Grammatikopoulou , Maria Ruxandra Robu
CPC分类号： A61B34/20 , G06V10/26 , G06V10/82 , G06V20/46 , A61B2034/2055 , A61B2034/2065 , G06V2201/034
摘要： An aspect includes a computer-implemented method that accesses input data including spatial data and/or sensor data temporally associated with a video stream of a surgical procedure. One or more machine-learning models predict a state of the surgical procedure based on the input data. The one or more machine-learning models detect one or more surgical instruments at least partially depicted in the video stream based on the input data. A state indicator and one or more surgical instrument indicators temporally correlated with the video stream are output. A first surgical instrument of the one or more surgical instruments is identified in the video stream, and a motion profile of the first surgical instrument is determined.
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