US 12,288,623 B2
Method and system for identifying subjects who are potentially impacted by a medical condition
Jean Philippe Sylvestre, Kirkland (CA); David Lapointe, Pointe-Claire (CA); and Claudia Chevrefils, Saint-Laurent (CA)
Assigned to OPTINA DIAGNOSTICS, INC., Montreal (CA)
Appl. No. 17/440,274
Filed by OPTINA DIAGNOSTICS, INC., Montreal (CA); Jean Philippe Sylvestre, Kirkland (CA); Claudia Chevrefils, Saint-Laurent (CA); and David Lapointe, Pointe-Claire (CA)
PCT Filed Mar. 16, 2020, PCT No. PCT/IB2020/052394
§ 371(c)(1), (2) Date Sep. 17, 2021,
PCT Pub. No. WO2020/188471, PCT Pub. Date Sep. 24, 2020.
Claims priority of provisional application 62/820,587, filed on Mar. 19, 2019.
Prior Publication US 2022/0157470 A1, May 19, 2022
Int. Cl. G16H 50/70 (2018.01); A61B 3/00 (2006.01); A61B 3/14 (2006.01); A61B 5/00 (2006.01); G16H 30/40 (2018.01)
CPC G16H 50/70 (2018.01) [A61B 3/0025 (2013.01); A61B 3/145 (2013.01); A61B 5/4848 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G16H 30/40 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A method for identifying subjects who are potentially impacted by a medical condition, comprising:
defining, in a database containing medical profiles for a population of subjects, an experimental group including one or more first subjects having a positive indication for a specific criterion related to the medical condition in their medical profiles, the positive indication indicating that each of the one or more first subjects has been diagnosed as being affected by the medical condition via direct observation of the specific criterion, the medical condition being one of an eye disease and a systemic disease having manifestations in an eye of a subject;
defining, in the database, a control group including one or more second subjects having a negative indication for the specific criterion related to the medical condition in their medical profiles, the negative indication indicating that each of the one or more second subjects has been diagnosed as being unaffected by the medical condition via direct observation of the specific criterion;
using an eye scan system to acquire, for each first and second subject of the population of subjects, a multispectral image of a retina of the subject;
training an artificial intelligence system using the positive and negative indications for the specific criterion and information related to one or more secondary characteristics of the first subjects of the experimental group and of the second subjects of the control group to construct a classifier for the medical condition, the information related to the one or more secondary characteristics for a particular subject among the first and second subjects being obtained at least in part by analysis of the multispectral image of the retina of the particular subject;
using the classifier to extract, from the population of subjects in the database, a target group including one or more subjects; and
marking, in the database, a medical profile of each subject of the target group of subjects as potentially affected by the medical condition.