A clinician's guide to large language models

Author:

Briganti Giovanni12ORCID

Affiliation:

1. Chair of AI & Digital Medicine, Faculté de Médecine, Université de Mons, Avenue du Champs de Mars 6, B7000 Mons, Belgium

2. Département des Sciences Cliniques, Université de Liège, Quartier Hôpital, B4000 Liège, Belgium

Abstract

The rapid advancement of artificial intelligence (AI) has led to the emergence of large language models (LLMs) as powerful tools for various applications, including healthcare. These large-scale machine learning models, such as GPT and LLaMA have demonstrated potential for improving patient outcomes and transforming medical practice. However, healthcare professionals without a background in data science may find it challenging to understand and utilize these models effectively. This paper aims to provide an accessible introduction to LLMs for healthcare professionals, discussing their core concepts, relevant applications in healthcare, ethical considerations, challenges, and future directions. With an overview of LLMs, we foster a more collaborative future between healthcare professionals and data scientists, ultimately driving better patient care and medical advancements.

Publisher

Future Medicine Ltd

Reference23 articles.

1. Touvron H, Lavril T, Izacard G, Martinet X, Lachaux MA, Lacroix T Llama: open and efficient foundation language models. ArXiv Prepr ArXiv230213971 (2023).

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