Artificial Intelligence and Its Role in the Diagnosis and Prediction of Adverse Events in Acute Coronary Syndrome: A Narrative Review of the Literature.
| Title: | Artificial Intelligence and Its Role in the Diagnosis and Prediction of Adverse Events in Acute Coronary Syndrome: A Narrative Review of the Literature. |
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| Authors: | Mariani A; Department of Advanced Biomedical Sciences, University of Naples 'Federico II', Via Sergio Pansini 5, 80131 Naples, Italy.; Spaccarotella CAM; Department of Advanced Biomedical Sciences, University of Naples 'Federico II', Via Sergio Pansini 5, 80131 Naples, Italy.; Rea FS; Department of Advanced Biomedical Sciences, University of Naples 'Federico II', Via Sergio Pansini 5, 80131 Naples, Italy.; Franzone A; Department of Advanced Biomedical Sciences, University of Naples 'Federico II', Via Sergio Pansini 5, 80131 Naples, Italy.; Piccolo R; Department of Advanced Biomedical Sciences, University of Naples 'Federico II', Via Sergio Pansini 5, 80131 Naples, Italy.; Castiello DS; Department of Advanced Biomedical Sciences, University of Naples 'Federico II', Via Sergio Pansini 5, 80131 Naples, Italy.; Indolfi C; Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Via Pietro Bucci, Arcavacata, 87036 Rende, CS, Italy.; Esposito G; Department of Advanced Biomedical Sciences, University of Naples 'Federico II', Via Sergio Pansini 5, 80131 Naples, Italy. |
| Source: | Life (Basel, Switzerland) [Life (Basel)] 2025 Mar 21; Vol. 15 (4). Date of Electronic Publication: 2025 Mar 21. |
| Publication Type: | Journal Article; Review |
| Language: | English |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101580444 Publication Model: Electronic Cited Medium: Print ISSN: 2075-1729 (Print) Linking ISSN: 20751729 NLM ISO Abbreviation: Life (Basel) Subsets: PubMed not MEDLINE |
| Imprint Name(s): | Original Publication: Basel, Switzerland : MDPI AG, 2011- |
| 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. |
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| Contributed Indexing: | Keywords: acute coronary syndrome; artificial intelligence; machine learning; narrative review |
| Entry Date(s): | Date Created: 20250426 Latest Revision: 20250428 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC12029043 |
| DOI: | 10.3390/life15040515 |
| PMID: | 40283070 |
| Database: | MEDLINE |
Journal Article; Review