The Potential Impact of Large Language Models on Doctor–Patient Communication: A Case Study in Prostate Cancer
The findings suggest a significant potential for LLMs to enhance healthcare communication by providing accurate and accessible information. However, variability in performance across different models underscores the need for tailored implementation strategies. We highlight the importance of integrating LLMs with a nuanced understanding of their capabilities and limitations to optimize their use in clinical settings.
Authors
- Daniel Bădescu
- Marius Geantă (ORCID: https://orcid.org/0000-0003-1510-8885)
- D. Radavoi
- Ștefan Rașcu
- Cristian Sima (ORCID: https://orcid.org/0000-0003-2508-2551)
- Narcis Chirca
- Viorel Jinga (ORCID: https://orcid.org/0000-0001-7632-5328)
- Ovidiu Cătălin Nechita (ORCID: https://orcid.org/0009-0002-5920-7287)
- Cristian Valentin Toma (ORCID: https://orcid.org/0000-0003-4396-8081)
- Cosmin George Radu
Institutions
- Carol Davila University of Medicine and Pharmacy (RO)
- Clinical Emergency Hospital Bucharest (RO)
- United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology (NL)
- Academia Oamenilor de Știință din România (RO)
- Ministerul Cercetării și Inovării (RO)
Publication Details
- Journal
- Healthcare
- Published
- 2024-08-05
- DOI
- https://doi.org/10.3390/healthcare12151548
- Citations
- 15
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.80