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 model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.
Type:
Grant
Filed:
May 18, 2022
Date of Patent:
March 14, 2023
Assignee:
Light AI, Inc.
Inventors:
Sarbjit Sarkaria, Steven Rebiffe, Udit Gupta, Mahendran Maliapen, Peter Whitehead
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 model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.
Type:
Grant
Filed:
September 30, 2019
Date of Patent:
June 28, 2022
Assignee:
Light AI, Inc.
Inventors:
Sarbjit Sarkaria, Steven Rebiffe, Udit Gupta, Mahendran Maliapen, Peter Whitehead