Fabien Lareyre , Kak Khee Yeung , Lisa Guzzi , Gilles Di Lorenzo , Arindam Chaudhuri , Christian-Alexander Behrendt , Konstantinos Spanos , Juliette Raffort
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引用次数: 0
Abstract
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.
期刊介绍：
Each issue of Seminars in Vascular Surgery examines the latest thinking on a particular clinical problem and features new diagnostic and operative techniques. The journal allows practitioners to expand their capabilities and to keep pace with the most rapidly evolving areas of surgery.
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