US 12,340,513 B2
Method and system for predicting expression of biomarker from medical image
Jae Hong Aum, Seoul (KR); Chanyoung Ock, Seoul (KR); and Donggeun Yoo, Seoul (KR)
Assigned to LUNIT INC., Seoul (KR)
Filed by LUNIT INC., Seoul (KR)
Filed on Sep. 26, 2024, as Appl. No. 18/897,420.
Application 18/897,420 is a continuation of application No. 17/502,260, filed on Oct. 15, 2021, granted, now 12,136,218.
Application 17/502,260 is a continuation of application No. PCT/KR2021/002728, filed on Mar. 5, 2021.
Claims priority of application No. 10-2020-0028686 (KR), filed on Mar. 6, 2020.
Prior Publication US 2025/0022135 A1, Jan. 16, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); A61B 5/00 (2006.01); G06T 7/11 (2017.01); G16H 30/20 (2018.01); G16H 50/30 (2018.01)
CPC G06T 7/0016 (2013.01) [A61B 5/4887 (2013.01); A61B 5/7275 (2013.01); G06T 7/11 (2017.01); G16H 30/20 (2018.01); G16H 50/30 (2018.01); A61B 2576/02 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30096 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining a medical image created by capturing at least one part of a body of a patient without tissue collection; and
using at least one processor:
inputting the medical image to a machine learning model; and
outputting information related to a biomarker for at least one lesion by using the machine learning model,
wherein the at least one lesion is detected in the medical image, and
wherein the information related to the biomarker is associated with a tissue that can be collected from the at least one lesion and is numerical information that is predicted about the biomarker for the at least one lesion.