Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, Antibes, France; Université Côte d'Azur, INSERM U1065, C3M, Nice, France.
Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Surgery, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Semin Vasc Surg. 2023 Sep;36(3):448-453. doi: 10.1053/j.semvascsurg.2023.05.004. Epub 2023 May 27.
Despite advances in prevention, detection, and treatment, cardiovascular disease is a leading cause of mortality and represents a major health problem worldwide. Artificial intelligence and machine learning have brought new insights to the management of vascular diseases by allowing analysis of huge and complex datasets and by offering new techniques to develop advanced imaging analysis. Artificial intelligence-based applications have the potential to improve prognostic evaluation and evidence-based decision making and contribute to vascular therapeutic decision making. In this scoping review, we provide an overview on how artificial intelligence could help in vascular surgical clinical decision making, highlighting potential benefits, current limitations, and future challenges.
尽管在预防、检测和治疗方面取得了进展,但心血管疾病仍是全球主要的死亡原因之一,也是一个重大的健康问题。人工智能和机器学习通过对庞大而复杂的数据集进行分析,并提供新的技术来开发先进的成像分析,为血管疾病的管理带来了新的见解。基于人工智能的应用有潜力改善预后评估和循证决策,并有助于血管治疗决策。在这篇范围综述中,我们概述了人工智能如何帮助血管外科临床决策,并强调了其潜在的益处、当前的局限性和未来的挑战。