| Autor: |
DELOURME, Solène, REDJDAL, Akram, BOUAUD, Jacques, SEROUSSI, Brigitte |
| Zdroj: |
Studies in Health Technology & Informatics; 2024, Vol. 316, p841-845, 5p |
| Abstrakt: |
The healthcare sector confronts challenges from overloaded tumor board meetings, reduced discussion durations, and care quality concerns, necessitating innovative solutions. Integrating Clinical Decision Support Systems (CDSSs) has a potential in supporting clinicians to reduce the cancer burden, but CDSSs remain poorly used in clinical practice. The emergence of OpenAI's ChatGPT in 2022 has prompted the evaluation of Large Language Models (LLMs) as potential CDSSs for diagnosis and therapeutic management. We conducted a scoping review to evaluate the utility of LLMs like ChatGPT as CDSSs in several medical specialties, particularly in oncology, and compared users' perception of LLMs with the actually measured performance of these systems. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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