Towards AI-assisted cardiology: a reflection on the performance and limitations of using large language models in clinical decision-making
EuroIntervention
.
2023 Dec 4;19(10):e798-e801.
doi: 10.4244/EIJ-D-23-00461.
Authors
Adil Salihu
1
,
Mehdi Ali Gadiri
2
,
Ioannis Skalidis
1
,
David Meier
1
,
Denise Auberson
1
,
Annick Fournier
3
,
Romain Fournier
4
,
Dorina Thanou
5
6
,
Emmanuel Abbé
5
7
,
Olivier Muller
1
,
Stephane Fournier
1
Affiliations
1
Department of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
2
MicroBioRobotics Systems Laboratory, Institute of Mechanical Engineering, EPFL, Lausanne, Switzerland.
3
UniDistance Suisse, Brig-Glis, Switzerland.
4
Department of Statistics, University of Oxford, Oxford, United Kingdom.
5
Department of Mathematical Data Science, EPFL, Lausanne, Switzerland.
6
LTS4 laboratory, EPFL, Lausanne, Switzerland.
7
Institute of Mathematics and School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.
PMID:
38050992
PMCID:
PMC10687640
(available on
2024-12-04
)
DOI:
10.4244/EIJ-D-23-00461
No abstract available
MeSH terms
Artificial Intelligence
Cardiology*
Cardiovascular System*
Clinical Decision-Making
Humans