SYSTEMS AND METHODS FOR ASSESSING GASTROINTESTINAL CLEANSING

    公开(公告)号:US20240249829A1

    公开(公告)日:2024-07-25

    申请号:US18561587

    申请日:2022-06-20

    CPC classification number: G16H30/40

    Abstract: A system for assessing gastrointestinal tract cleansing includes one or more processors and at least one memory storing instructions. This instructions, when executed by the one or more processors, cause the system to access a plurality of images of at least a portion of a gastrointestinal tract (GIT) captured by a capsule endoscopy device; access a cleansing score for each image of the plurality of images; for each image of the plurality of images, access advancement information indicative of physical advancement of the capsule endoscopy device relating to the respective image, determine a cleansing measure for at least the portion of the GIT based on the cleansing score and the advancement information for each image of the plurality of images, and provide a visual indication based on at least one of: the cleansing measure for at least the portion of the GIT or at least one of the cleansing scores.

    SYSTEMS, DEVICES, APPS, AND METHODS FOR CAPSULE ENDOSCOPY PROCEDURES

    公开(公告)号:US20250000349A1

    公开(公告)日:2025-01-02

    申请号:US18882079

    申请日:2024-09-11

    Abstract: Systems, devices, methods for capsule endoscopy procedures are disclosed. A swallowable capsule apparatus includes one or more processors and one or more memory storing instructions. The instructions, when executed by the one or more processors, cause the swallowable capsule apparatus at least to perform: capturing in-vivo images over time of at least a portion of a gastrointestinal tract (GIT) of a person; pruning, over time, at least a portion of the in-vivo images; and communicating images of the in-vivo images, which were not pruned, to a receiver device external to the person.

    IMAGE INPAINTING OF IN-VIVO IMAGES
    4.
    发明公开

    公开(公告)号:US20240156337A1

    公开(公告)日:2024-05-16

    申请号:US18496253

    申请日:2023-10-27

    CPC classification number: A61B1/041 A61B1/000096 A61B1/00016 A61B5/4255

    Abstract: A system for image inpainting of in-vivo images includes at least one processor and at least one memory storing instructions. The instructions, when executed by the processor(s), cause the system to access an in-vivo image of a portion of a gastrointestinal tract where the in-vivo image includes image regions to be reconstructed, process the in-vivo image by a trained image inpainting deep learning model to provide a reconstructed in-vivo image, and provide the reconstructed in-vivo image to a device for viewing by a medical professional.

    SYSTEMS AND METHODS FOR IDENTIFYING IMAGES CONTAINING INDICATORS OF A CELIAC-LIKE DISEASE

    公开(公告)号:US20230401700A1

    公开(公告)日:2023-12-14

    申请号:US18035417

    申请日:2021-11-14

    Abstract: A method for detecting indicators of a disease characterized by a presence of villous atrophy in images of a gastrointestinal tract (GIT), includes accessing a consecutive set of images of a portion of the GIT comprising a small bowel. Each image is associated with one or more classification scores, and each classification score is indicative of the associated image including a respective indicator of a disease characterized by the presence of villous atrophy. The method further includes selecting a subset of images from the consecutive set of images based on the one or more classification scores of each image of the consecutive set of images, identifying a segment of images which includes all of the images that show a proximal portion of the small bowel, selecting a plurality of images from the identified segment of images that represent the proximal portion of the small bowel, and displaying the selected images.

    SYSTEMS AND METHODS FOR COMPARING IMAGES OF EVENT INDICATORS

    公开(公告)号:US20230298306A1

    公开(公告)日:2023-09-21

    申请号:US18021242

    申请日:2021-09-01

    CPC classification number: G06V10/74 G06T7/0012 G06T2207/20084 G06V2201/032

    Abstract: The present disclosure relates to systems and methods for determining whether two images of a gastrointestinal tract (GIT) contain the same occurrence of an event indicator or different occurrences of an event indicator. An exemplary processing system includes at least one processor and at least one memory storing instructions. When the instruction are executed by the processor(s), they cause the processing system to access a first image and a second image of a portion of a GIT, where the first image and the second image contain at least one occurrence of an event indicator, and to classify the first image and the second image by a classification system configured to provide an indication of whether the first image and second image contain a same occurrence of the event indicator or contain different occurrences of the event indicator.

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