US 12,340,508 B2
Method and system for automatically managing clinical trial image evaluation data
Kyung Won Kim, Seoul (KR); Young Bin Shin, Seoul (KR); Ji Woo Lee, Seongnam-si (KR); and Jung Hyun Lee, Seoul (KR)
Assigned to TRIAL INFORMATICS INC., Seoul (KR)
Filed by TRIAL INFORMATICS INC., Seoul (KR)
Filed on Sep. 16, 2022, as Appl. No. 17/932,936.
Application 17/932,936 is a continuation of application No. PCT/KR2021/003157, filed on Mar. 15, 2021.
Claims priority of application No. 10-2020-0033166 (KR), filed on Mar. 18, 2020.
Prior Publication US 2023/0017940 A1, Jan. 19, 2023
Int. Cl. G16H 10/20 (2018.01); G06T 7/00 (2017.01); G06T 7/62 (2017.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G06T 7/62 (2017.01); G16H 30/40 (2018.01); G06T 2207/30004 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A method for automatically managing clinical trial image evaluation data, generated when a clinical trial image is evaluated, the method performed by a computer and comprising:
obtaining first image evaluation data and second image evaluation data from a first evaluator and a second evaluator, respectively;
analyzing the obtained image evaluation data by evaluation items, whether the obtained image evaluation data conforms to preset evaluation rules;
in a case in which the obtained image evaluation data includes an evaluation item which does not conform to the evaluation rules, automatically providing a query including a correction request and help with respect to the evaluation item that does not conform to the evaluation rules;
determining whether the first image evaluation data and the second image evaluation data match each other with respect to the evaluation items;
obtaining final image evaluation data; and
converting the final image evaluation data into a standard format,
wherein the final image evaluation data is image evaluation data generated in a case in which a moderator performs adjustment based on image evaluation data input from a plurality of evaluators,
wherein the image evaluation data include a numerical analysis value for a target object,
wherein the numerical analysis value is calculated based on reference data included in the evaluation rules,
wherein the reference data includes measurement standard for types of target objects, and
wherein the obtaining comprises:
setting a region of interest; and
automatically measuring and providing the numerical analysis value for reference with respect to the target object in the region of interest.