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Review | Open Access

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

Xinyuan Huang1, Di Chen1, Yumin Cai2, Zihan Chen1, Dongmei Xie1 ( ), Chaoquan Peng1( ), Yuanlong Li3( )
Department of Cardiology, The Third Affiliated Hospital of Sun Yat‐sen University, Guangzhou, China
Sun Yat‐sen University School of Medicine, Shenzhou, China
Orthopedics, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen University, Guangzhou, China

Xinyuan Huang and Di Chen contributed equally to this work and share the co‐first authorship.

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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.

Graphical Abstract

This article illustrates the current dilemmas of myocardial infarction patients after traditional cardiac rehabilitation, as well as the feasibility of using artificial intelligence to optimize and assist with rehabilitation programs such as by integrating mobile apps, wearables, ECGs, medication, vital signs, and assessment data; finally, the AI engine supports clinician feedback and personalized exercise, lifestyle, medication, and mental health interventions to improve adherence, quality of life, and readmission risk.

Keywords

artificial intelligencecardiac rehabilitationheart failuremyocardial infarction

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Medicine Advances
Volume 4 Issue 3,
September 2026
Pages 305-315
DOI: 10.1002/med4.70082

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Cite this article:
Huang X, Chen D, Cai Y, et al. AI‐Enabled Cardiac Rehabilitation for Patients With Heart Failure After Myocardial Infarction: Current Status and Future Prospects. Medicine Advances, 2026, 4(3): 305-315. https://doi.org/10.1002/med4.70082

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Received: 03 February 2026
Revised: 18 March 2026
Accepted: 11 May 2026
Published: 11 September 2026
© 2026 The Author(s). Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.