Back to results
US 10,373,315 B2Granted
Method and system for computer-aided triage
AssigneeViz.ai Inc.
InventorsChristopher Mansi, David Golan
Life of this patent
Estimating the term…
Abstract
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.
Claims18
A method for computer-aided triage, the method comprising, at a remote computing system remote from a first point of care:
- receiving, at the remote computing system, a set of Digital Imaging and Communications in Medicine (DICOM) brain images associated with a patient, wherein the set of DICOM brain images is concurrently sent to a standard radiology workflow operating in parallel with the method, wherein, in the standard radiology workflow, a radiologist analyzes the set of DICOM brain images and notifies a specialist based on a visual assessment of the set of DICOM brain images at a workstation, wherein the standard radiology workflow takes a first amount of time;
- at the remote computing system, automatically detecting a potential cerebral artery occlusion from the set of DICOM brain images, comprising:
- segmenting a large vessel region from the set of DICOM brain images;
- extracting a centerline from the large vessel region;
- calculating a centerline length of the large vessel region based on the centerline, wherein calculating the centerline length comprises a centerline extension process;
- comparing the centerline length with a predetermined threshold;
- and
- detecting the potential cerebral artery occlusion when the centerline length is less than the predetermined threshold;
- upon the potential cerebral artery occlusion detection, automatically:
- determining, at the remote computing system, the specialist from the standard radiology workflow, wherein the specialist is associated with a second point of care;
- notifying the specialist on a mobile device associated with the specialist, wherein the specialist is notified in a second amount of time shorter than the first amount of time, wherein the radiologist is not automatically notified upon potential cerebral artery occlusion detection;
- displaying a compressed version of the set of DICOM brain images on the mobile device;
- and
- displaying a high-resolution version of the set of DICOM brain images on a workstation associated with the specialist.
11 more elements
A method for augmenting a standard radiology workflow operating in parallel with the method, the method comprising, at a remote computing system remote from a first point of care:
- receiving, at the remote computing system, a set of images of a brain of a patient, wherein the set of brain images is concurrently sent to the standard radiology workflow operating in parallel with the method, wherein, in the standard radiology workflow, a radiologist analyzes the set of images and notifies a first specialist in response to determining a presence of a large vessel occlusion;
- at the remote computing system, automatically detecting a potential large vessel occlusion from the set of images, comprising:
- segmenting a large vessel region from the set of images;
- extracting a centerline from the large vessel region;
- calculating a centerline length of the large vessel region based on the centerline, wherein calculating the centerline length comprises a centerline extension process;
- comparing the centerline length with a predetermined threshold;
- and
- detecting the potential large vessel occlusion when the centerline length is less than the predetermined threshold;
- upon the potential large vessel occlusion detection, automatically:
- determining, at the remote computing system, a second specialist from the standard radiology workflow, wherein the second specialist is associated with a second point of care;
- notifying the second specialist on a mobile device associated with the second specialist before the radiologist notifies the first specialist;
- and
- displaying a compressed version of the set of images on the mobile device.
10 more elements
Dependencies are inferred from the claim text.