The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 19, 2024

Filed:

Mar. 19, 2021
Applicant:

Light Ai Inc., Vancouver, CA;

Inventors:

Peter Whitehead, West Vancouver, CA;

Mahendran Maliapen, Vancouver, CA;

Sarbjit Sarkaria, Richmond, CA;

Steven Rebiffé, Richmond, CA;

Udit Gupta, Vancouver, CA;

Assignee:

Light AI Inc., Vancouver, CA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06F 18/214 (2023.01); G06F 18/2411 (2023.01); G06V 10/145 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06F 18/2148 (2023.01); G06F 18/2155 (2023.01); G06F 18/2411 (2023.01); G06V 10/145 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G16H 30/40 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image data model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image data model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.


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