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公开(公告)号：USD1034693S1
公开(公告)日：2024-07-09
申请号：US29847457
申请日：2022-07-25
设计人： Anthony J. Inwood
摘要： FIG. 1 is a front view of a display screen or portion thereof with graphical user interface including a graphical user interface icon showing my new design; and,
FIG. 2 is an enlarged partial view of the area defined by the dash-dot line shown in FIG. 1.
The dash-dash broken lines depict portions of a display screen with graphical user interface. The dash-dot broken lines illustrate the location and bounds of the enlarged partial view of FIG. 2. None of the broken lines form part of the claimed design.-
公开(公告)号：US20240161934A1
公开(公告)日：2024-05-16
申请号：US18282317
申请日：2022-04-14
摘要： An aspect includes a computer-implemented method that quantifies variations in surgical approaches to medical procedures. Surgical videos documenting multiple cases of a medical procedure are analyzed to identify variations in surgical approaches used by service providers when performing the medical procedure. According to some aspects, the variation in surgical approaches is quantified.
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3.发明公开公开(公告)号：US20240122734A1
公开(公告)日：2024-04-18
申请号：US18394027
申请日：2023-12-22
IPC分类号： A61F5/00 , A61B1/00 , A61B17/068 , A61B17/32 , A61B34/10 , G05B19/4155 , G06F18/21 , G06N20/00 , G06V10/70 , G06V20/40
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 , A61B2017/00212
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：US20240037949A1
公开(公告)日：2024-02-01
申请号：US18350072
申请日：2023-07-11
摘要： An aspect includes a computer-implemented method for surgical workflow visualization as deviations to a standard workflow. Surgical videos documenting multiple cases of a medical procedure are analyzed to identify variations when the medical procedure is performed multiple times by one or more service providers. According to some aspects, a visualization of one or more of the variations are output to a display device.
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公开(公告)号：US20230315905A1
公开(公告)日：2023-10-05
申请号：US18124633
申请日：2023-03-22
发明人： Danail V. Stoyanov
CPC分类号： G06F21/6254 , G06V20/44
摘要： An aspect includes a computer-implemented method that de-identifies data received from microphones. The method includes receiving data from one or more microphones and de-identifying the data. The de-identifying includes inputting the data into a machine learning system that has been trained to detect patterns in the data that are likely to identify a specific entity, and to remove the detected patterns from the data to generate de-identified data. An output from the machine learning system is received, where the output includes the de-identified data. According to some aspects, the microphones can be located in an operating room.
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7.发明申请公开(公告)号：US20210015554A1
公开(公告)日：2021-01-21
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 , G06K9/00
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：US10572734B2
公开(公告)日：2020-02-25
申请号：US15791663
申请日：2017-10-24
发明人： Omar Alvi , Andre Chow , James Kellerman , James Liu , Danail Stoyanov
IPC分类号： G06K9/00 , G06F19/00 , G16H15/00 , A61B34/00 , G16H70/20 , G16H20/40 , H04L29/08 , A61B90/00 , A61B5/00 , G11B27/34 , H04N5/77 , H04N5/92 , G16H50/50 , A61B90/50 , G16H40/67
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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公开(公告)号：US20190164012A1
公开(公告)日：2019-05-30
申请号：US16265417
申请日：2019-02-01
发明人： Odysseas Zisimopoulos , Evangello Flouty , Imanol Luengo Muntion , Mark Stacey , Sam Muscroft , Petros Giataganas , Andre Chow , Jean Nehme , Danail Stoyanov
摘要： A set of virtual images can be generated based on one or more real images and target rendering specifications, such that the set of virtual images correspond to (for example) different rendering specifications (or combinations thereof) than do the real images. An image style can be transferred to the at least some of the virtual images of the set of virtual images to generate a stylized virtual image. A machine-learning model can be trained using a plurality of stylized virtual images. Another real image can then be processed using the trained machine-learning model. The processing can include segmenting the other real image to detect whether and/or which objects are represented (and/or a state of the object). The object data can then be used to identify (for example) a state of a procedure.
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公开(公告)号：US20240303984A1
公开(公告)日：2024-09-12
申请号：US18281968
申请日：2022-03-18
发明人： Ricardo Sanchez-Matilla , Maria Ruxandra Robu , Imanol Luengo Muntion , Danail V. Stoyanov , David Owen , Maria Grammatikopoulou
IPC分类号： G06V20/40 , A61B90/00 , G06T7/20 , G06V10/25 , G06V10/62 , G06V10/774 , G06V10/80 , G06V10/82 , G06V20/20
CPC分类号： G06V20/41 , A61B90/37 , G06T7/20 , G06V10/25 , G06V10/62 , G06V10/774 , G06V10/806 , G06V10/82 , G06V20/20 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/20104 , G06T2207/30004 , G06T2207/30201 , G06V2201/03
摘要： An aspect includes a computer-implemented method that predicts a proposed region of interest in an image from a video of a surgical procedure based on one or more contextual targets. An image adjustment is synthesized based on the proposed region of interest and the image. A modified visualization of the surgical procedure is generated by incorporating the image adjustment in a real-time output of the video of the surgical procedure. The video of the surgical procedure is displayed with the modified visualization.
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