Fiche publication
Date publication
octobre 2023
Journal
Cardiovascular and interventional radiology
Auteurs
Membres identifiés du Cancéropôle Est :
Dr CAZZATO Roberto-Luigi
Tous les auteurs :
Najafi A, Cazzato RL, Meyer BC, Pereira PL, Alberich A, López A, Ronot M, Fritz J, Maas M, Benson S, Haage P, Gomez Munoz F
Lien Pubmed
Résumé
Artificial intelligence (AI) has made tremendous advances in recent years and will presumably have a major impact in health care. These advancements are expected to affect different aspects of clinical medicine and lead to improvement of delivered care but also optimization of available resources. As a modern specialty that extensively relies on imaging, interventional radiology (IR) is primed to be on the forefront of this development. This is especially relevant since IR is a highly advanced specialty that heavily relies on technology and thus is naturally susceptible to disruption by new technological developments. Disruption always means opportunity and interventionalists must therefore understand AI and be a central part of decision-making when such systems are developed, trained, and implemented. Furthermore, interventional radiologist must not only embrace but lead the change that AI technology will allow. The CIRSE position paper discusses the status quo as well as current developments and challenges.
Mots clés
AI, Artificial intelligence, IR, Interventional radiology, ML, Machine learning
Référence
Cardiovasc Intervent Radiol. 2023 10;46(10):1303-1307
