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Review
. 2025 Mar 21;15(4):515.
doi: 10.3390/life15040515.

Artificial Intelligence and Its Role in the Diagnosis and Prediction of Adverse Events in Acute Coronary Syndrome: A Narrative Review of the Literature

Andrea Mariani  1 , Carmen Anna Maria Spaccarotella  1 , Francesco Saverio Rea  1 , Anna Franzone  1 , Raffaele Piccolo  1 , Domenico Simone Castiello  1 , Ciro Indolfi  2 , Giovanni Esposito  1
Affiliations
Review

Artificial Intelligence and Its Role in the Diagnosis and Prediction of Adverse Events in Acute Coronary Syndrome: A Narrative Review of the Literature

Andrea Mariani et al. Life (Basel). .

Abstract

Acute coronary syndrome (ACS) is a global health concern that requires rapid and accurate diagnosis for timely intervention and better patient outcomes. With the emergence of Artificial Intelligence (AI), significant advancements have been made in improving diagnostic accuracy, efficiency, and risk stratification in ACS management. This narrative review examines the current landscape of AI applications in ACS diagnosis and risk stratification, emphasizing key methodologies, technical and clinical implementation challenges, and also possible future research directions. Moreover, unlike previous reviews, this paper also focuses on ethical and legal issues and the feasibility of clinical applications.

Keywords: acute coronary syndrome; artificial intelligence; machine learning; narrative review.

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Conflict of interest statement

The authors report no financial relationships or conflicts of interest regarding the content herein.

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