AI‐Enabled Cardiac Rehabilitation for Patients With Heart Failure After Myocardial Infarction: Current Status and Future Prospects

ABSTRACT Heart failure remains one of the most significant complications following myocardial infarction, severely impairing patients' quality of life and contributing to elevated mortality rates. In clinical practice, these patients commonly undergo cardiac rehabilitation (CR) to enhance their functional status and overall quality of life, but the uptake of CR remains below 50%. Here, we integrated artificial Intelligence (AI) approaches with vital signs, lifestyle habits, and adherence to CR programs in patients who have suffered myocardial infarction complicated by heart failure. Also, we present the current applications of AI related to the current landscape of CR, encompassing machine learning and deep learning. This review might inform future research and clinical practice of AI‐enabled cardiac rehabilitation for patients with heart failure post‐myocardial infarction.

Authors

Institutions

Publication Details

Journal
Medicine Advances
Published
2026-09-11
DOI
https://doi.org/10.1002/med4.70082
Primary Topic
Cardiac Health and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI‐Enabled Cardiac Rehabilitation for Patients With Heart Failure After Myocardial Infarction: Current Status and Future Prospects

Xinyuan Huang, Dongmei Xie, Yuanlong Li, Zihan Chen et al.
Medicine Advances
Cardiac Health and Mental Health
article

AI‐Enabled Cardiac Rehabilitation for Patients With Heart Failure After Myocardial Infarction: Current Status and Future Prospects

Xinyuan Huang, Dongmei Xie, Yuanlong Li, Zihan Chen, Chaoquan Peng, Yumin Cai, Di Chen
article en

Abstract

ABSTRACT Heart failure remains one of the most significant complications following myocardial infarction, severely impairing patients' quality of life and contributing to elevated mortality rates. In clinical practice, these patients commonly undergo cardiac rehabilitation (CR) to enhance their functional status and overall quality of life, but the uptake of CR remains below 50%. Here, we integrated artificial Intelligence (AI) approaches with vital signs, lifestyle habits, and adherence to CR programs in patients who have suffered myocardial infarction complicated by heart failure. Also, we present the current applications of AI related to the current landscape of CR, encompassing machine learning and deep learning. This review might inform future research and clinical practice of AI‐enabled cardiac rehabilitation for patients with heart failure post‐myocardial infarction.

Medicine Advances
Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
Good health and well-being
Openalex Percentile: Top 10%
Cardiac Health and Mental Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.