公开(公告)号：US20230326604A1

公开(公告)日：2023-10-12

申请号：US18333795

申请日：2023-06-13

Applicant: EKO.AI PTE. LTD.

Inventor： James Otis HARE, II ,  Su Ping Carolyn LAM ,  Yoran HUMMEL ,  Matthew FROST ,  Mathias IVERSEN ,  Sze Chi LIM ,  Weile Wayne TEE

IPC: G16H50/20 ,  A61B8/14 ,  A61B8/08 ,  G06T7/00 ,  G06T7/11

CPC classification number: G16H50/20 ,  A61B8/14 ,  A61B8/488 ,  G06T7/0012 ,  G06T7/11 ,  G06T2207/30048 ,  G06T2207/20084

Abstract: A computer-implemented method for automated diagnosis of cardiac amyloidosis (CA) and hypertrophic cardiomyopathy (HCM) performed by an automated workflow engine executed by at least one processor includes separating a plurality of echocardiogram (echo) images a heart according to 2D images and Doppler modality images. The 2D images are classified by view type, including A4C video. The 2D images are segmented to produce segmented A4C images having a segmentation mask over the left ventricle. Phase detection is performed on the segmented A4C images to determine systole and diastole endpoints per cardiac cycle. Disease classification is performed on beat-to-beat A4C images for respective cardiac cycles. The cardiac cycle probability scores generated for all of the cardiac cycles are aggregated for each A4C video, and the aggregated probability scores for all the A4C videos are combined to generate a patient-level conclusion for CA and HCM.