US 12,266,447 B2
Method and system for generating medical prediction related to biomarker from medical data
Donggeun Yoo, Seoul (KR); Jeong Hoon Lee, Seoul (KR); and Kyunghyun Paeng, Seoul (KR)
Assigned to LUNIT INC., Seoul (KR)
Filed by LUNIT INC., Seoul (KR)
Filed on Oct. 15, 2021, as Appl. No. 17/502,304.
Application 17/502,304 is a continuation of application No. PCT/KR2021/006034, filed on May 13, 2021.
Claims priority of application No. 10-2020-0057256 (KR), filed on May 13, 2020; and application No. 10-2021-0062294 (KR), filed on May 13, 2021.
Prior Publication US 2022/0037024 A1, Feb. 3, 2022
Int. Cl. G16H 50/20 (2018.01); G06T 7/00 (2017.01); G16H 10/60 (2018.01); G16H 50/70 (2018.01)
CPC G16H 50/20 (2018.01) [G06T 7/0014 (2013.01); G16H 10/60 (2018.01); G16H 50/70 (2018.01); G06T 2207/20084 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method performed by at least one processor for generating a medical prediction related to a biomarker from medical data, the method comprising:
obtaining medical data associated with a patient;
determining a region of interest in the medical data;
extracting one or more first features associated with the medical data based on the region of interest;
extracting one or more second features associated with the medical data based on at least a portion of a region other than the region of interest;
applying a weight to the one or more first features;
generating a medical prediction for the patient based on the one or more first features to which the weight is applied and the one or more second features; and
outputting the medical prediction.