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公开(公告)号:US20230402167A1
公开(公告)日:2023-12-14
申请号:US18334344
申请日:2023-06-13
Applicant: Stryker Corporation
Inventor: Vijay Kumar TIWARY , Sean Victor HASTINGS , Gaurav BHARDWAJ
Abstract: The present disclosure relates generally to improving surgical safety, and more specifically to techniques for automated detection of non-compliance to surgical protocols in a surgical environment such as an operating room. An exemplary method comprises: receiving one or more images of the operating room captured by one or more cameras; detecting a surgical milestone associated with a surgery in the operating room using a first set of one or more trained machine-learning models based on the received one or more images; detecting one or more activities in the operating room using a second set of one or more trained machine-learning models based on the received one or more images; and determining, based on the detected one or more activities and a surgical protocol associated with the detected surgical milestone, that an instance of non-compliance to the surgical protocol has occurred in the operating room.
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公开(公告)号:US20230402164A1
公开(公告)日:2023-12-14
申请号:US18334336
申请日:2023-06-13
Applicant: Stryker Corporation
Inventor: Gaurav BHARDWAJ , Vijay Kumar TIWARY , Chitrank SHARMA
CPC classification number: G16H40/20 , G16H50/70 , G06V20/52 , G06V10/774 , G06V20/41 , G06V10/82 , G16H10/60
Abstract: The present disclosure relates generally to improving surgery safety, and more specifically to monitoring various aspects of an operating room. An exemplary method for generating an alert to close a door of an operating room comprises: determining a status of the door of the operating room by: receiving one or more images of the door captured by one or more cameras; inputting the one or more images into a trained machine-learning model to obtain the status of the door, wherein the machine-learning model is trained using training images depicting open or closed doors; receiving one or more signals from one or more sensors in the operating room; determining, based on the one or more signals, whether an alert threshold is reached; and if the alert threshold is reached and the status of the door is open, generating the alert to close the door of the operating room.
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公开(公告)号:US20240207626A1
公开(公告)日:2024-06-27
申请号:US18396671
申请日:2023-12-26
Applicant: Stryker Corporation
Inventor: Vijay Kumar TIWARY , Avinash KUMAR , Sudhanshu MEHTA , Gianni BOCCOLERI , Gaurav BHARDWAJ , Lina GUREVICH
CPC classification number: A61N1/3931 , A61N1/046 , A61N1/39046
Abstract: Disclosed herein are methods, systems, and programming for evaluating a medical workflow. For example, one or more images depicting a medical environment and a medical workflow performed in the medical environment may be received. Contextual information associated with the medical workflow may be determined, and a stage of the medical workflow may be identified, based on the one or more images. A subsequent stage of the medical workflow may be determined based on the identified stage, and first medical content associated with the contextual information and second medical content associated with the subsequent stage may be presented to one or more medical staff located within the medical environment.
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公开(公告)号:US20230402166A1
公开(公告)日:2023-12-14
申请号:US18334342
申请日:2023-06-13
Applicant: Stryker Corporation
Inventor: Vijay Kumar TIWARY , Sean Victor HASTINGS , Gaurav BHARDWAJ , Chitrank SHARMA , Lina GUREVICH , Heather Marlene COUGHLAN
CPC classification number: G16H40/20 , A61B90/361 , G16H20/40
Abstract: The present disclosure relates generally to improving operating room scheduling and resource management efficiency, and more specifically to techniques for monitoring various aspects of an operating room. An exemplary method for adjusting a surgical schedule specifying timing information for one or more surgeries to occur in an operating room comprises: receiving one or more images of the operating room captured by one or more cameras; detecting one or more surgical milestones of a plurality of predefined surgical milestones using one or more trained machine-learning models based on the received one or more images, wherein the one or more machine learning models are trained using a plurality of training images depicting the one or more surgical milestones; and adjusting, based on the detected one or more surgical milestones, the surgical schedule specifying timing information for the one or more surgeries to occur in the operating room.
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