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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Yunguo Yu, Cesar A. Gomez-Cabello, Svetlana Makarova, Yogesh Parte, Sahar Borna, Syed Ali Haider, Ariana Genovese, Srinivasagam Prabha, Antonio J. Forte
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2024-12-01
سلاسل:	Bioengineering
الموضوعات:	diagnostics clinical decision support Artificial Intelligence large language models data retrieval
الوصول للمادة أونلاين:	https://www.mdpi.com/2306-5354/12/1/17
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!