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公开(公告)号：US12118650B2
公开(公告)日：2024-10-15
申请号：US17760602
申请日：2020-09-16
Applicant: Nuvasive, Inc.
Inventor： Sean O'Connor , Alexander Hsu , Kara Robinson
CPC classification number: G06T11/008 , A61B90/37 , G06T7/0012 , G06T7/32 , G06V20/60 , G16H30/40 , G06T2200/04 , G06T2207/10116 , G06T2207/20212 , G06T2207/30004 , G06T2211/40 , G06V2201/034
Abstract: The present disclosure includes systems, methods and media for rendering objects translucent and for recovery of anatomical information blocked by the objects in medical images.
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公开(公告)号：US20240206989A1
公开(公告)日：2024-06-27
申请号：US18561756
申请日：2022-03-18
Applicant: DIGITAL SURGERY LIMITED
Inventor： Imanol Luengo Muntion , Danail Stoyanov , Andre Chow , Petros Giataganas , Maria Grammatikopoulou , Maria Ruxandra Robu
CPC classification number: A61B34/20 , G06V10/26 , G06V10/82 , G06V20/46 , A61B2034/2055 , A61B2034/2065 , G06V2201/034
Abstract: 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：US12011240B2
公开(公告)日：2024-06-18
申请号：US17518541
申请日：2021-11-03
Inventor： Jian Jia Zeng , Sheng-Hong Yang , Bo-Wei Pan
IPC: A61B34/32 , A61B34/20 , A61B90/50 , G06T7/20 , G06T7/50 , G06T7/73 , G06V20/10 , G06V40/10 , H04N23/90
CPC classification number: A61B34/32 , G06T7/20 , G06T7/50 , G06T7/73 , G06V20/10 , G06V40/107 , H04N23/90 , A61B2034/2057 , A61B2034/2065 , A61B90/50 , G06T2207/10028 , G06T2207/30196 , G06V2201/034
Abstract: A surgical robotic arm control system and a surgical robotic arm control method are provided. The surgical robotic arm control system includes a surgical robotic arm, a first image capturing unit, a second image capturing unit, and a processor. The first image capturing unit is used for obtaining a field image. The field image includes a first target image of a target object. The second image capturing unit is disposed at an end position of the surgical robotic arm and is used to obtain a second target image of the target object. The processor analyzes the field image to obtain robotic arm movement information, and controls the surgical robotic arm to move to approach the target object. The processor analyzes the target image to obtain robotic arm rotation information, and controls an angle and a posture of the surgical robotic arm.
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公开(公告)号：US12008758B2
公开(公告)日：2024-06-11
申请号：US17952234
申请日：2022-09-24
Applicant: PSIP LLC
Inventor： Salmaan Hameed , Giau Nguyen
IPC: G06T7/00 , A61B1/00 , G01B11/03 , G01B11/30 , G06F18/2413 , G06V10/44 , G06V10/50 , G06V10/764 , G06V10/82
CPC classification number: G06T7/0014 , A61B1/000094 , A61B1/000096 , A61B1/0014 , A61B1/00177 , A61B1/00181 , G01B11/03 , G01B11/30 , G06V10/454 , G06V10/50 , G06V10/764 , G06V10/82 , A61B1/00101 , G06F18/2414 , G06T2207/10068 , G06T2207/30032 , G06V2201/032 , G06V2201/034
Abstract: Identifying polyps or lesions in a colon. In some variations, computer-implemented methods for polyp detection may be used in conjunction with an endoscope system to analyze the images captured by the endoscopic system, identify any polyps and/or lesions in a visual scene captured by the endoscopic system, and provide an indication to the practitioner that a polyp and/or lesion has been detected.
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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
Applicant: DIGITAL SURGERY LIMITED
Inventor： Imanol Luengo Muntion , Danail V. Stoyanov , Andre Chow , Petros Giataganas , David P. Owen , Maria Grammatikopoulou , Ricardo Sanchez-Matilla , Maria Ruxandra Robu
CPC classification number: G06T7/70 , A61B34/20 , A61B90/37 , G06T7/20 , G06T7/50 , G06T11/00 , G06V20/41 , A61B2034/2065 , G06T2207/10016 , G06T2207/20081 , G06T2207/30004 , G06V2201/034
Abstract: 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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Patent Agency Ranking
公开(公告)号：US20240161497A1
公开(公告)日：2024-05-16
申请号：US18282616
申请日：2022-03-18
Applicant: DIGITAL SURGERY LIMITED
Inventor： Imanol Luengo Muntion , Danail V. Stoyanov , Andre Chow , Petros Giataganas , David P. Owen , Maria Grammatikopoulou , Ricardo Sanchez-Matilla , Maria Ruxandra Robu
IPC: G06V20/40 , G06V10/774 , G16H20/40 , G16H30/40
CPC classification number: G06V20/41 , G06V10/774 , G06V20/46 , G16H20/40 , G16H30/40 , G06V2201/034
Abstract: 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：US11983872B2
公开(公告)日：2024-05-14
申请号：US18302579
申请日：2023-04-18
Applicant: FUJIFILM Corporation
Inventor： Maiko Endo
IPC: G06T7/00 , G06V10/764
CPC classification number: G06T7/0012 , G06T7/97 , G06V10/764 , G06T2200/24 , G06T2207/10068 , G06T2207/20092 , G06T2207/30096 , G06V2201/034
Abstract: The medical image processing device includes a processor. The processor is configured to: acquire a plurality of medical images including a subject image; assign first image information to the medical image by analyzing the medical image; perform designation of the first image information; and perform control of displaying a selected image in a first display region of a display screen in a selected image display aspect, the selected image being the medical image to which the designated first image information is assigned among the plurality of medical images, and perform control of displaying each of pieces of designated first image information in a second display region of the display screen.
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公开(公告)号：US11978549B2
公开(公告)日：2024-05-07
申请号：US17160910
申请日：2021-01-28
Applicant: FUJIFILM Corporation
Inventor： Shin Hamauzu
IPC: G16H30/40 , A61B6/00 , A61B6/12 , A61B34/20 , A61F13/44 , G06F18/214 , G06F18/25 , G06N3/08 , G06T7/70 , G06V10/764 , G06V10/774 , G06V10/82 , G16H20/40 , G16H40/63
CPC classification number: G16H30/40 , A61B6/12 , A61B6/5247 , A61B6/5282 , A61B34/20 , A61F13/44 , G06F18/2148 , G06F18/251 , G06N3/08 , G06T7/70 , G06V10/764 , G06V10/774 , G06V10/82 , G16H20/40 , G16H40/63 , G06T2207/10116 , G06T2207/20081 , G06T2207/30004 , G06V2201/034
Abstract: A processor acquires a radiographic image including a human body and a surgical tool image which indicates a surgical tool and is acquired by a method other than radiography. The processor combines the surgical tool image with the radiographic image to generate a training image for training a discriminator that discriminates a region of the surgical tool in a target image in a case in which the target image is input.
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公开(公告)号：US11883219B2
公开(公告)日：2024-01-30
申请号：US17895948
申请日：2022-08-25
Applicant: Orthogrid Systems Holdings, LLC
Inventor： Richard Boddington , Edouard Saget , Joshua Cates , Hind Oulhaj , Erik Noble Kubiak
CPC classification number: A61B6/463 , A61B6/12 , A61B6/487 , A61B6/505 , G06T7/30 , G06T7/60 , G06T11/00 , G06V10/764 , G06V10/82 , G06T2200/24 , G06T2207/10064 , G06T2207/10116 , G06V2201/033 , G06V2201/034
Abstract: The inventive subject matter is directed to a computing platform configured to execute one or more automated artificial intelligence models, wherein the one or more automated artificial intelligence models includes a neural network model, wherein the one or more automated artificial intelligence models are trained on a plurality of radiographic images from a data layer to detect a plurality of anatomical structures or a plurality of hardware, wherein at least one anatomical structure is a pelvic teardrop and a symphysis pubis joint; detecting at a plurality of anatomical structures in a radiographic image of a subject, wherein the plurality of anatomical structures are detected by the computing platform by the step of classifying the radiographic image with reference to a subject good side radiographic image; and constructing a graphical representation of data, wherein the graphical representation is a subject specific functional pelvis grid; the subject specific functional pelvis grid generated based upon the anatomical structures detected by the computing platform in the radiographic image. Various types of functional grids can be generated based on the situation detected.
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公开(公告)号：US20230401649A1
公开(公告)日：2023-12-14
申请号：US18451599
申请日：2023-08-17
Applicant: Theator Inc.
Inventor： Tamir WOLF , Dotan ASSELMANN
IPC: G06Q40/08 , A61B90/00 , A61B34/00 , A61B34/37 , G16H20/40 , G16H50/70 , G16H50/20 , G16H30/40 , G16H70/20 , G16H15/00 , A61B34/30 , G16H40/63 , A61B17/00 , G16H50/30 , G06F16/71 , A61B34/10 , G16H40/20 , G16H30/20 , A61B5/02 , A61B5/103 , A61B5/00 , G06Q10/0631 , G06V20/20 , G06V20/40 , G06V20/52 , A61B90/92 , G06F16/735 , G11B27/10 , A61B1/00
CPC classification number: G06Q40/08 , A61B90/37 , A61B34/25 , A61B34/70 , A61B34/37 , G16H20/40 , G16H50/70 , G16H50/20 , G16H30/40 , G16H70/20 , G16H15/00 , A61B34/30 , A61B90/06 , A61B90/361 , G16H40/63 , A61B17/00 , G16H50/30 , G06F16/71 , A61B34/10 , G16H40/20 , G16H30/20 , A61B5/02042 , A61B5/1032 , A61B5/7267 , A61B5/7275 , G06Q10/06312 , G06V20/20 , G06V20/40 , G06V20/41 , G06V20/49 , G06V20/52 , A61B90/92 , G06F16/735 , A61B5/746 , G11B27/10 , A61B1/000094 , A61B1/000096 , A61B2090/0807 , A61B2034/302 , A61B2090/065 , A61B2017/0011 , A61B2017/00119 , A61B2034/104 , A61B2034/252 , A61B2505/05 , A61B2034/254 , A61B2034/256 , G06V20/44 , G06V2201/034 , G06V40/10
Abstract: Systems and methods for updating a predicted outcome during a surgical procedure are disclosed. The system may include at least one processor configured to perform operations that include receiving, from at least one image sensor, image data associated with a first event and image data associated with a second event during a surgical procedure. Operations may include determining, based on received image data associated with the first event, a predicted outcome associated with the surgical procedure. Operations may include determining, based on the received image data associated with the second event, a change in the predicted outcome, causing the predicted outcome to drop below a threshold. Operations may include accessing a data structure of image-related data based on prior surgical procedures, identifying, based on the data structure, a recommended remedial action, and outputting the recommended remedial action.
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