Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression

DLi-ASc increased in parallel with AS progression and was independently associated with severe AS progression. These findings support its role as a noninvasive imaging-based digital marker for longitudinal AS monitoring and risk stratification.

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Publication Details

Journal
Journal of the American Heart Association
Published
2026-01-14
DOI
https://doi.org/10.1161/jaha.125.045179
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
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article

Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression

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Journal of the American Heart Association
Cardiac Valve Diseases and Treatments
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Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression

In‐Chang Hwang, Seung‐Ah Lee, Jaeik Jeon, Jiyeon Kim, Hyuk‐Jae Chang, Jae‐Hyeong Park, Yeonyee E. Yoon, Goo‐Yeong Cho, Hong‐Mi Choi, Jiesuck Park
article en

Abstract

DLi-ASc increased in parallel with AS progression and was independently associated with severe AS progression. These findings support its role as a noninvasive imaging-based digital marker for longitudinal AS monitoring and risk stratification.

Journal of the American Heart AssociationVol. 15(2)
Seoul National University (KR), Yonsei University (KR), University Health System (US), New Generation University College (ET), Seoul National University Bundang Hospital (KR), Chungnam National University Hospital (KR), Yonsei University Health System (KR)
Quality Education
Openalex Percentile: Top 88%
Cardiac Valve Diseases and Treatments
DOIOpen Access PDFOpenAlex
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Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression — In‐Chang Hwang, Seung‐Ah Lee, et al. · Journal of the American Heart Association (2026) | TGRS Research Map | TGRS