人工智能在心脏瓣膜疾病中的应用：诊断、创新与治疗。一篇最新综述。
Artificial intelligence in heart valve disease: diagnosis, innovation and treatment. A state-of-the-art review.
作者信息
Bamford Paul, Abdelrahman Amr, Malkin Christopher J, Cunnington Michael S, Blackman Daniel J, Ali Noman
机构信息
Interventional Fellow.
Interventional Cardiologist.
出版信息
Br J Cardiol. 2024 Aug 6;31(3):031. doi: 10.5837/bjc.2024.031. eCollection 2024.
In recent years, artificial intelligence (AI) has been used to improve the precision of valvular heart disease diagnosis and treatment. It has the ability to identify and risk stratify patients with valvular heart disease and holds promise in improving the innovation of new treatments through shorter, safer and more effective clinical trials. AI can help to guide the treatment of patients with valvular heart disease, by aiding in optimal device selection for transcatheter valvular interventions and, potentially, predicting the risk of specific complications. This review article explores the various potential applications of AI in the diagnosis and treatment of valvular heart disease in more detail.
近年来，人工智能（AI）已被用于提高心脏瓣膜病诊断和治疗的精准度。它有能力识别心脏瓣膜病患者并进行风险分层，且有望通过更短、更安全和更有效的临床试验推动新治疗方法的创新。人工智能可以辅助选择经导管瓣膜介入治疗的最佳器械，并有可能预测特定并发症的风险，从而帮助指导心脏瓣膜病患者的治疗。这篇综述文章更详细地探讨了人工智能在心脏瓣膜病诊断和治疗中的各种潜在应用。
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