Using Large Language Models to Retrieve Critical Data from Clinical Processes and Business Rules

Current clinical care relies heavily on complex, rule-based systems for tasks like diagnosis and treatment. However, these systems can be cumbersome and require constant updates. This study explores the potential of the large language model (LLM), LLaMA 2, to address these limitations. We tested LLa...

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Bibliografske podrobnosti

Principais autores:	Yunguo Yu, Cesar A. Gomez-Cabello, Svetlana Makarova, Yogesh Parte, Sahar Borna, Syed Ali Haider, Ariana Genovese, Srinivasagam Prabha, Antonio J. Forte
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-12-01
Serija:	Bioengineering
Teme:	diagnostics clinical decision support Artificial Intelligence large language models data retrieval
Online dostop:	https://www.mdpi.com/2306-5354/12/1/17
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