US 12,148,150 B2
Infection detection using image data analysis
Peter Whitehead, West Vancouver (CA); Mahendran Maliapen, Vancouver (CA); Sarbjit Sarkaria, Richmond (CA); Steven Rebiffé, Richmond (CA); and Udit Gupta, Vancouver (CA)
Assigned to Light AI Inc., Vancouver (CA)
Filed by Light AI Inc., Vancouver (CA)
Filed on Mar. 19, 2021, as Appl. No. 17/207,065.
Claims priority of provisional application 63/029,391, filed on May 22, 2020.
Claims priority of provisional application 62/992,118, filed on Mar. 19, 2020.
Prior Publication US 2021/0295506 A1, Sep. 23, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. 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)
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)] 16 Claims
OG exemplary drawing
 
1. A method comprising:
accessing a set of subject throat image data from a subject capturing an inside of the subject's throat;
accessing a set of clinical factors from the subject, the clinical factors collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject throat image data;
inputting the subject throat image data into an image data model to generate a prediction regarding at least a viral pathogen presence prediction for the subject;
inputting the viral pathogen presence prediction and the clinical factors into a classifier to determine a disease state prediction; and
returning the disease state prediction.