Artificial intelligence in vascular surgical decision making - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Seminars in Vascular Surgery Année : 2023

Artificial intelligence in vascular surgical decision making

Artificial intelligence in vascular surgical decision making

Résumé

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.
Fichier non déposé

Dates et versions

hal-04361618 , version 1 (22-12-2023)

Licence

Identifiants

Citer

Fabien Lareyre, Kak Khee Yeung, Lisa Guzzi, Gilles Di Lorenzo, Arindam Chaudhuri, et al.. Artificial intelligence in vascular surgical decision making. Seminars in Vascular Surgery, 2023, 36 (3), pp.448-453. ⟨10.1053/j.semvascsurg.2023.05.004⟩. ⟨hal-04361618⟩
101 Consultations
0 Téléchargements

Altmetric

Partager

More