Benjamin Mina M, Rabbat Mark G
Division of Cardiovascular Medicine, SSM-Saint Louis University Hospital, Saint Louis University, Saint Louis, MO 63104, USA.
Department of Cardiovascular Medicine, Loyola University Medical Center, Maywood, IL 60153, USA.
Diagnostics (Basel). 2024 Jan 25;14(3):261. doi: 10.3390/diagnostics14030261.
Transcatheter aortic valve replacement (TAVR) has emerged as a viable alternative to surgical aortic valve replacement, as accumulating clinical evidence has demonstrated its safety and efficacy. TAVR indications have expanded beyond high-risk or inoperable patients to include intermediate and low-risk patients with severe aortic stenosis. Artificial intelligence (AI) is revolutionizing the field of cardiology, aiding in the interpretation of medical imaging and developing risk models for at-risk individuals and those with cardiac disease. This article explores the growing role of AI in TAVR procedures and assesses its potential impact, with particular focus on its ability to improve patient selection, procedural planning, post-implantation monitoring and contribute to optimized patient outcomes. In addition, current challenges and future directions in AI implementation are highlighted.
经导管主动脉瓣置换术(TAVR)已成为外科主动脉瓣置换术的一种可行替代方案,因为越来越多的临床证据表明了其安全性和有效性。TAVR的适应症已从高危或无法手术的患者扩展到包括中低风险的严重主动脉瓣狭窄患者。人工智能(AI)正在彻底改变心脏病学领域,有助于医学影像解读,并为高危个体和心脏病患者开发风险模型。本文探讨了AI在TAVR手术中日益重要的作用,并评估其潜在影响,特别关注其在改善患者选择、手术规划、植入后监测以及优化患者预后方面的能力。此外,还强调了AI实施中的当前挑战和未来方向。