Towards AI-assisted cardiology: a reflection on the performance and limitations of using large language models in clinical decision-making.

Salihu, Adil; Gadiri, Mehdi Ali; Skalidis, Ioannis; Meier, David; Auberson, Denise; Fournier, Annick; Fournier, Romain; Thanou, Dorina; Abbé, Emmanuel; Muller, Olivier; Fournier, Stephane

Salihu, Adil; Gadiri, Mehdi Ali; Skalidis, Ioannis; Meier, David; Auberson, Denise; Fournier, Annick; Fournier, Romain; Thanou, Dorina; Abbé, Emmanuel; Muller, Olivier; Fournier, Stephane.

Affiliation

Salihu A; Department of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
Gadiri MA; MicroBioRobotics Systems Laboratory, Institute of Mechanical Engineering, EPFL, Lausanne, Switzerland.
Skalidis I; Department of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
Meier D; Department of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
Auberson D; Department of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
Fournier A; UniDistance Suisse, Brig-Glis, Switzerland.
Fournier R; Department of Statistics, University of Oxford, Oxford, United Kingdom.
Thanou D; Department of Mathematical Data Science, EPFL, Lausanne, Switzerland.
Abbé E; LTS4 laboratory, EPFL, Lausanne, Switzerland.
Muller O; Department of Mathematical Data Science, EPFL, Lausanne, Switzerland.
Fournier S; Institute of Mathematics and School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.

EuroIntervention ; 19(10): e798-e801, 2023 12 04.

Article de En | MEDLINE | ID: mdl-38050992

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Cardiologie / Système cardiovasculaire Limites: Humans Langue: En Journal: EuroIntervention Sujet du journal: ANGIOLOGIA / CARDIOLOGIA / TERAPEUTICA Année: 2023 Type de document: Article Pays d'affiliation: Suisse

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