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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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公开(公告)号：US20240169579A1
公开(公告)日：2024-05-23
申请号：US18282655
申请日：2022-03-18
发明人： Imanol Luengo Muntion , Danail V. Stoyanov , Andre Chow , Petros Giataganas , David P. Owen , Maria Grammatikopoulou , Ricardo Sanchez-Matilla , Maria Ruxandra Robu
CPC分类号： G06T7/70 , A61B34/20 , A61B90/37 , G06T7/20 , G06T7/50 , G06T11/00 , G06V20/41 , A61B2034/2065 , G06T2207/10016 , G06T2207/20081 , G06T2207/30004 , G06V2201/034
摘要： A location of an anatomical structure in image(s) from a surgical procedure is predicted using machine learning. An image/video capture device such as an endoscope, a wearable camera, a stationary camera, etc., can be used to capture the image(s). A confidence score of the prediction of the machine learning is determined. A surgeon can be provided an augmented visualization of the surgical procedure by displaying one or more graphical overlays based on the findings of the machine learning to enhance the surgeon-s information.
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公开(公告)号：US20240161497A1
公开(公告)日：2024-05-16
申请号：US18282616
申请日：2022-03-18
发明人： Imanol Luengo Muntion , Danail V. Stoyanov , Andre Chow , Petros Giataganas , David P. Owen , Maria Grammatikopoulou , Ricardo Sanchez-Matilla , Maria Ruxandra Robu
IPC分类号： G06V20/40 , G06V10/774 , G16H20/40 , G16H30/40
CPC分类号： G06V20/41 , G06V10/774 , G06V20/46 , G16H20/40 , G16H30/40 , 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.
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公开(公告)号：US20230326207A1
公开(公告)日：2023-10-12
申请号：US18130445
申请日：2023-04-04
发明人： Jinglu Zhang , Abdolrahim Kadkhodamohammadi , Imanol Luengo Muntion , Danail V. Stoyanov , Santiago Barbarisi
CPC分类号： G06V20/41 , G16H30/40 , G06V20/46 , G06V10/82 , G06V2201/03
摘要： Techniques are described for improving computer-assisted surgical (CAS) systems, particularly, to recognize surgical phases in a video of a surgical procedure. A CAS system includes cameras that provide video stream of a surgical procedure. According to one or more aspects the surgical phases are automatically detected in the video stream using a machine learning model. Particularly, the machine learning model includes a boundary aware cascade stage network to perform surgical phase recognition.
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8.发明申请公开(公告)号：US20220409285A1
公开(公告)日：2022-12-29
申请号：US17899687
申请日：2022-08-31
IPC分类号： A61B34/10 , G06K9/62 , G06N20/00 , G05B19/4155 , A61F5/00 , A61B17/32 , A61B17/068 , G06V20/40
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：US20220020486A1
公开(公告)日：2022-01-20
申请号：US17491658
申请日：2021-10-01
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：US20210358599A1
公开(公告)日：2021-11-18
申请号：US17391137
申请日：2021-08-02
发明人： Omar Alvi , Andre Chow , James Kellerman , James Liu , Danail Stoyanov
IPC分类号： G16H30/20 , G16H15/00 , A61B34/00 , G16H70/20 , G16H20/40 , H04L29/08 , A61B90/00 , A61B5/00 , G06K9/00 , G11B27/34 , H04N5/77 , H04N5/92
摘要： In some embodiments, methods and systems are provided for accessing a surgical dataset including surgical data collected during performance of a surgical procedure. The surgical data can include video data of the surgical procedure. Using the surgical data, a plurality of procedural states associated with the surgical procedure can be determined. For a procedural state of the plurality of procedural states, temporal information can be identified that identifies a part of the video data to be associated with the procedural state. For the procedural state of the plurality of procedural states, electronic data can be generated that characterizes the part of the video data and outputting the electronic data associated with the plurality of procedural states.
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