Mariani Andrea, Spaccarotella Carmen Anna Maria, Rea Francesco Saverio, Franzone Anna, Piccolo Raffaele, Castiello Domenico Simone, Indolfi Ciro, Esposito Giovanni
Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.
Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Via Pietro Bucci, Arcavacata, 87036 Rende, CS, Italy.
Life (Basel). 2025 Mar 21;15(4):515. doi: 10.3390/life15040515.
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.
急性冠状动脉综合征(ACS)是一个全球性的健康问题,需要快速准确的诊断以便及时干预并改善患者预后。随着人工智能(AI)的出现,在提高ACS管理中的诊断准确性、效率和风险分层方面已经取得了重大进展。这篇叙述性综述探讨了AI在ACS诊断和风险分层中的应用现状,强调了关键方法、技术和临床实施挑战以及未来可能的研究方向。此外,与以往的综述不同,本文还关注伦理和法律问题以及临床应用的可行性。