公开(公告)号：US20240374234A1

公开(公告)日：2024-11-14

申请号：US18315390

申请日：2023-05-10

Applicant: EKO.AI PTE. LTD ,  MedStar Health, Inc.

Inventor： James Otis HARE, II ,  Su Ping Carolyn LAM ,  Yoran HUMMEL ,  Zhubo JIANG ,  Matthew FROST ,  Federico Miguel ASCH

IPC: A61B8/08

Abstract: An automated workflow performed by software executing on at least one processor includes receiving a plurality of echocardiogram images of a heart. The plurality of echocardiogram (echo) images are separated according to 2D images and Doppler modality images. The 2D images are classified by view type, including PLAX, A2C, and A4C. The Doppler modality images are classified by region, including CW (Continuous Wave). Regions of interest in the 2D images are segmented images to produce segmented 2D images, including PLAX, A2C, and A4C segmented images. The Doppler modality images are segmented to generate waveform traces to produce segmented Doppler modality images. Both the segmented 2D images and the segmented Doppler modality images are used to calculate measurements of cardiac features of the heart. A grade of MR or TR severity is generated by comparing the calculated measurements to cardiac guidelines. At least one report is output showing the calculated measurements.

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.

公开(公告)号：US20230351593A1

公开(公告)日：2023-11-02

申请号：US18316010

申请日：2023-05-11

Applicant: EKO.AI PTE. LTD.

Inventor： James Otis HARE, II ,  Su Ping Carolyn LAM ,  Yoran HUMMEL ,  Matthew FROST ,  Mathias IVERSEN ,  Cyril EQUILBEC ,  Zhubo JIANG

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/90 ,  G06V20/40 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H70/20

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/90 ,  G06V20/49 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H70/20 ,  G06T2207/30048 ,  G06T2207/10016 ,  G06V2201/031 ,  G06T2207/20084 ,  G06T2207/20081 ,  G06T2207/10132 ,  G06T2207/30101

Abstract: A computer-implemented method for grading of Aortic Stenosis severity performed by an automated workflow engine executed by at least one processor includes receiving, from a memory, a plurality of echocardiogram images a heart. The plurality of echocardiogram (echo) images according to 2D images and Doppler modality images. The 2D images are classified by view type, and the Doppler modality images are classified by region. The regions of interest in the 2D images are segmented to produce segmented 2D images. The Doppler modality images are segmented to generate waveform traces to produce segmented Doppler modality images. The segmented images are used to calculate measurements of cardiac features of the heart. A conclusion of Aortic Stenosis severity is generated by comparing the calculated measurements to cardiac guidelines. A report is then output showing the calculated measurements of the cardiac features that fall within or outside of the cardiac guidelines.