US 12,254,985 B2
Diagnosis assistance method and cardiovascular disease diagnosis assistance method
Tae Geun Choi, Seoul (KR); Geun Yeong Lee, Seoul (KR); and Hyung Taek Rim, Seoul (KR)
Assigned to MEDI WHALE INC., Seoul (KR)
Filed by MEDI WHALE INC., Seoul (KR)
Filed on Sep. 29, 2021, as Appl. No. 17/489,177.
Application 17/489,177 is a continuation in part of application No. 16/807,686, filed on Mar. 3, 2020, granted, now 11,164,313.
Application 16/807,686 is a continuation of application No. PCT/KR2018/016388, filed on Dec. 20, 2018.
Claims priority of provisional application 62/776,345, filed on Dec. 6, 2018.
Claims priority of provisional application 62/715,729, filed on Aug. 7, 2018.
Claims priority of provisional application 62/694,901, filed on Jul. 6, 2018.
Claims priority of application No. 10-2017-0175865 (KR), filed on Dec. 20, 2017; application No. 10-2018-0157559 (KR), filed on Dec. 7, 2018; application No. 10-2018-0157560 (KR), filed on Dec. 7, 2018; and application No. 10-2018-0157561 (KR), filed on Dec. 7, 2018.
Prior Publication US 2022/0301709 A1, Sep. 22, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 50/20 (2018.01); A61B 3/12 (2006.01); A61B 5/00 (2006.01); A61B 5/021 (2006.01); G06T 7/00 (2017.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01)
CPC G16H 50/20 (2018.01) [A61B 3/12 (2013.01); A61B 5/021 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G06T 7/0004 (2013.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A cardiovascular disease diagnosis assistant device which assists a diagnosis of a cardiovascular disease using a retinal image, comprising:
a memory; and
at least one processor operably connected to the memory and configured to:
obtain clinical information of a testee, wherein the clinical information includes blood pressure information or blood lipid level information;
obtain the retinal image from the testee, when the clinical information of the testee is within a predetermined range;
obtain a cardiovascular disease diagnosis assistant information of the testee according to the retinal image, via a cardiovascular disease diagnosis assistant model including at least one convolutional neural network layer which obtains a diagnosis assistant information used for the diagnosis of the cardiovascular disease according to the retinal image, based on the retinal image, wherein the clinical information is included in the cardiovascular disease diagnosis assistant information; and
output the cardiovascular disease diagnosis assistant information;
wherein, the cardiovascular disease diagnosis assistant information includes recommendation for drug therapy or non-drug therapy to improve the testee's condition.