公开(公告)号：US20230298138A1

公开(公告)日：2023-09-21

申请号：US18183929

申请日：2023-03-14

Applicant: Stryker Corporation

Inventor： Jose GEORGE ,  Lina GUREVICH

IPC: G06T5/00 ,  G06T5/20 ,  G06T7/00 ,  G06V20/40 ,  G06V10/26

CPC classification number: G06T5/002 ,  G06T5/20 ,  G06T7/0012 ,  G06V20/44 ,  G06V10/273 ,  G06T2207/30104 ,  G06T2207/20201 ,  G06T2207/20081 ,  G06T2207/10016 ,  G06T2207/10068 ,  G06V2201/034

Abstract: The present disclosure relates generally to medical imaging, and more specifically to extracting a subset of images from a series of images (e.g., surgical video feeds) for training machine-learning models and/or conducting various downstream analyses. The system can hash image data for each image of a series of video images of the surgery to obtain a series of hash values; calculate a plurality of difference values for the series of hash values, each of the plurality of difference values indicative of a difference between two consecutive hash values in the series of hash values; generate a plurality of image clusters by clustering the plurality of distance values; select one or more image clusters from the plurality of image clusters; and produce a subset of surgical images from the series of video images using the selected one or more image clusters from the plurality of image clusters.

公开(公告)号：US20230122835A1

公开(公告)日：2023-04-20

申请号：US18048022

申请日：2022-10-19

Applicant: Stryker Corporation

Inventor： Sanskruti MASKE ,  Jose GEORGE ,  Lina GUREVICH

IPC: G06T5/00 ,  G06T5/40 ,  G06T7/00 ,  A61B1/00

Abstract: The present disclosure relates generally to medical imaging, and more specifically to machine-learning techniques for clarifying and enhancing intraoperative images. The system can receive one or more intraoperative images depicting a biological tissue and smoke; input the one or more intraoperative images into a trained neural network to obtain a clarified image depicting the biological tissue that is less obscured by smoke than at least one of the received one or more intraoperative images; enhance, using an equalization algorithm, contrast in the clarified image to obtain an enhanced clarified intraoperative image; and display, on a display, the enhanced clarified intraoperative image, which can be used for decision making within or outside surgeries.

公开(公告)号：US20240203552A1

公开(公告)日：2024-06-20

申请号：US18539090

申请日：2023-12-13

Applicant: Stryker Corporation

Inventor： Jose GEORGE ,  Sanskruti MASKE

IPC: G16H15/00 ,  G06V10/74 ,  G06V20/40 ,  G10L13/033

CPC classification number: G16H15/00 ,  G06V10/761 ,  G06V20/41 ,  G06V20/46 ,  G10L13/033 ,  G06V2201/03

Abstract: Disclosed herein are methods for generating a video surgical report using a machine learning pipeline. The machine learning pipeline may include one or more machine learning models, each of which may support a particular aspect of a video surgical report generation process. For example, one or more images of a surgical procedure may be obtained. Using one or more machine learning models, a set of images from the one or more images may be selected based on the surgical procedure. A video surgical report may be generated for the surgical procedure, which may include at least some of the set of images. The machine learning pipeline can offload work typically performed by a user (e.g., surgeon, medical staff, etc.) to create the video surgical report, thereby saving significant time and/or resources.