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Patent Agency Ranking
公开(公告)号：US20240087699A1
公开(公告)日：2024-03-14
申请号：US18556581
申请日：2022-04-24
Applicant: INTUITIVE SURGICAL OPERATIONS, INC.
Inventor： Kristen Brown , Anthony Jarc , Yihan Bao , Xi Liu , Huan Phan , Linlin Zhou
Abstract: Various of the disclosed embodiments provide Graphical User Interfaces (GUIs) for reviewing prior surgical procedures. Specifically, the GUI may allow a user, such as surgeon, to review sensor data, including video data, acquired during various of the surgeon's past surgical procedures. Some sensor data may be organized into metrics referred to herein as objective performance indicators (OPIs). Similarly, procedures may be discretized into specific tasks. By organizing and presenting data in OPI form at the task level, the GUI may facilitate efficient and coordinated review of the surgeon's progress over time across multiple procedures. In some embodiments, corresponding data from expert surgeons may also presented in the interface so that the user may gauge the surgeon's relative performance.
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2.发明公开公开(公告)号：US20240296604A1
公开(公告)日：2024-09-05
申请号：US18592922
申请日：2024-03-01
Applicant: INTUITIVE SURGICAL OPERATIONS, INC.
Inventor： Rui Guo , Xi Liu , Ziheng Wang , Marzieh Ershad Langroodi , Anthony M. Jarc
CPC classification number: G06T11/206 , A61B34/20 , G06T5/60 , G06T5/70 , G06T7/0012 , G06T7/246 , G06T7/73 , A61B2034/2065 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06T2207/30241 , G06T2210/41
Abstract: A method for detecting a location of a plurality of keypoints of a surgical instrument comprises receiving, at a first neural network model, a video input of a surgical procedure. The method further comprises generating, using the first neural network model, a first output image including a first output location of the plurality of keypoints annotated on a first output image of the surgical instrument. The method further comprises receiving, at a second neural network model, the first output image and historic keypoint trajectory data including a historic trajectory for the plurality of keypoints. The method further comprises determining, using the second neural network model, a trajectory for the plurality of keypoints. The method further comprises generating, using the second neural network model, a second output image including a second output location of the plurality of keypoints annotated on a second output image of the surgical instrument.
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公开(公告)号：US20230316756A1
公开(公告)日：2023-10-05
申请号：US18035078
申请日：2021-11-18
Applicant: Intuitive Surgical Operations, Inc.
Inventor： Ziheng Wang , Kiran Bhattacharyya , Samuel Bretz , Anthony Jarc , Xi Liu , Andrea Villa , Aneeq Zia
CPC classification number: G06V20/50 , G06V20/41 , G06V20/46 , G06V10/82 , G06V10/809 , G06V10/7715 , G06V2201/034 , G16H30/40
Abstract: 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.
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公开(公告)号：US20240428428A1
公开(公告)日：2024-12-26
申请号：US18593067
申请日：2024-03-01
Applicant: INTUITIVE SURGICAL OPERATIONS, INC.
Inventor： Rui Guo , Xi Liu , Ziheng Wang , Anthony M. Jarc
Abstract: A method for predicting movement of a first plurality of keypoints of a first instrument comprises receiving, at a neural network model, a first location of the first plurality of keypoints and a first location of a second plurality of keypoints of a second instrument. The method further comprises determining a trajectory for the first and second pluralities of keypoints by: generating, using an attention model of the neural network model, a first and second tool-level graph indicating a spatial-temporal relationship between the first and second pluralities of keypoints, respectively; and generating a scene-level graph based on the tool-level graphs. The scene-level graph indicates a spatial-temporal relationship between the first and second pluralities of keypoints. The method further comprises generating an output image based on the determined trajectory. The output image includes an output location of the first and second pluralities of keypoints.
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公开(公告)号：US20230316545A1
公开(公告)日：2023-10-05
申请号：US18035100
申请日：2021-11-19
Applicant: Intuitive Surgical Operations, Inc.
Inventor： Xi Liu , Marzieh Ershad Langroodi , Anthony Jarc
CPC classification number: G06T7/248 , G06V10/751 , G06V20/48 , G06V20/41 , G06T2207/30004 , G06T2207/10016 , G06V2201/034 , G06T2200/24 , G06T2207/20081 , G06T2207/20084 , G16H30/40
Abstract: Various of the disclosed embodiments are directed to systems and computer-implemented methods for determining surgical system events and/or kinematic data based upon surgical video data, such as video acquired at an endoscope. In some embodiments, derived data may be inferred from elements appearing in a graphical user interface (GUI) exclusively. Icons and text may be recognized in the GUI to infer event occurrences and tool actions. In some embodiments, derived data may additionally, or alternatively, be inferred from optical flow values derived from the video and by tracking tools entering and leaving the video field of view. Some embodiments include logic for reconciling data values derived from each of these approaches.
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