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AI Biotech/Diagnostics: Cardio
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Patent US10346979
Issued 2019-07-09
Method And System For Computer-aided Triage
A system for computer-aided triage can include a router, a remote computing system, and a client application. A method for computer-aided triage can include determining a parameter associated with a data packet, determining a treatment option based on the parameter, and transmitting information to a device associated with a second point of care.
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- 1. A method for determining a specialist for a patient presenting with a stroke symptom at a first point of care, the method comprising:
receiving, at a remote computing system, a data packet from the first point of care, wherein the data packet comprises a set of computed tomography (CT) images and a set of metadata associated with the set of CT images; processing the data packet at the remote computing system, comprising:
organizing the set of CT images into a series based on the metadata;
identifying soft matter voxels from the series based on a soft matter mask, the soft matter mask comprising a predetermined Hounsfield Unit (HU) threshold;
registering the soft matter voxels to a set of reference CT images, thereby determining a registered set of voxels;
with a feed-forward deep convolutional network, segmenting a large vessel region in the registered set of voxels;
extracting a centerline of the segmented large vessel region; and
determining a length of the segmented large vessel region based on the centerline; and
comparing the centerline length with a predetermined threshold, wherein the predetermined threshold is greater than a corresponding anatomical length;
when the centerline length is less than the predetermined threshold, determining a specialist based on a lookup table; transmitting a notification and a second data packet comprising a set of compressed images to a user device associated with the specialist; and determining a next point of care for the patient based on an input from the specialist after viewing the set of compressed images.
- 11. A method for computer-aided triage, the method comprising, at a processing system:
receiving a data packet comprising a set of computed tomography (CT) images of a brain of the patient sampled at the first point of care, wherein the data packet is concurrently sent to a standard radiology workflow operating in parallel with the method; determining a large vessel region from the set of CT images; extracting a large vessel centerline from the large vessel region; calculating a centerline length of the large vessel centerline; and comparing the centerline length with a predetermined threshold; detecting a large vessel occlusion when the centerline length is less than the predetermined threshold; in response to large vessel occlusion detection:
presenting a notification on a mobile device associated with a specialist from the standard radiology workflow, the specialist associated with a second point of care;
displaying a compressed version of the set of CT images on the mobile device in response to interaction with the notification; and
selecting one of a set of next points of care for the patient, the set of next points of care comprising at least the first and second points of care, based on an input from the specialist after viewing the compressed CT images.
