Large Language Models Are Reshaping Patient Data Management and Clinical Practice in Nuclear Medicine - 19/11/25
Doi : 10.1016/j.cpet.2025.09.009
Pia Koller, MSc a, George A. Prenosil, PhD a, Kuangyu Shi, PhD b, Lara Cavinato, PhD c, ⁎ 
a Department of Nuclear Medicine, Inselspital, Bern University Hospital and University of Bern, Switzerland
b Department of Nuclear Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
c MOX Laboratory, Department of Mathematics, Politecnico Milano, Milano, Italy
∗Corresponding author.
Résumé |
The review synthesizes recent research on large language models (LLMs) in nuclear medicine and theranostics. It explores the potential of LLMs in this specialized field for patient data management, clinical decision support, and education. Key challenges include hallucinations, limited domain knowledge, and privacy concerns. The paper emphasizes the need for validation and domain adaptation to improve the potential of LLMs in these medical domains.
Le texte complet de cet article est disponible en PDF.Keywords : Large language models, Nuclear medicine, Theranostics, Precision medicine, Review
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© 2025
Elsevier Inc. Tous droits réservés.
Vol 21 - N° 1
P. 33-42 - janvier 2026 Retour au numéro
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