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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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2.发明公开公开(公告)号：US20240156547A1
公开(公告)日：2024-05-16
申请号：US18281840
申请日：2022-03-18
IPC分类号： A61B34/00 , A61B34/10 , A61B34/20 , A61B90/00 , G06T7/00 , G06T7/50 , G06T7/70 , G06T11/00 , G06V10/26 , G06V10/774 , G06V20/40 , G06V20/50 , G16H30/40
CPC分类号： A61B34/25 , G06T7/0012 , G06T7/50 , G06T7/70 , G06T11/001 , G06V10/26 , G06V10/774 , G06V20/41 , G06V20/50 , G16H30/40 , A61B2034/107 , A61B2034/2065 , A61B2034/252 , A61B2090/364 , G06T2207/10016 , G06T2207/20081 , G06T2207/30004 , G06T2210/41 , G06V2201/031 , G06V2201/034
摘要： A surgical action to be performed during a surgical procedure is predicted using machine learning based on images and surgical instrumentation data. 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 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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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：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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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：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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