Large language models in medicine.

Journal: Nature medicine
Published Date:

Abstract

Large language models (LLMs) can respond to free-text queries without being specifically trained in the task in question, causing excitement and concern about their use in healthcare settings. ChatGPT is a generative artificial intelligence (AI) chatbot produced through sophisticated fine-tuning of an LLM, and other tools are emerging through similar developmental processes. Here we outline how LLM applications such as ChatGPT are developed, and we discuss how they are being leveraged in clinical settings. We consider the strengths and limitations of LLMs and their potential to improve the efficiency and effectiveness of clinical, educational and research work in medicine. LLM chatbots have already been deployed in a range of biomedical contexts, with impressive but mixed results. This review acts as a primer for interested clinicians, who will determine if and how LLM technology is used in healthcare for the benefit of patients and practitioners.

Authors

  • Arun James Thirunavukarasu
    University of Cambridge School of Clinical Medicine Cambridge UK.
  • Darren Shu Jeng Ting
    Academic Ophthalmology, University of Nottingham, Nottingham, UK.
  • Kabilan Elangovan
    Artificial Intelligence and Digital Innovation Research Group, Singapore Eye Research Institute, Singapore.
  • Laura Gutierrez
    Artificial Intelligence and Digital Innovation Research Group, Singapore Eye Research Institute, Singapore.
  • Ting Fang Tan
    Singapore National Eye Center, Singapore Eye Research Institute Singapore Health Service Singapore Singapore.
  • Daniel Shu Wei Ting
    Singapore National Eye Center, Singapore Eye Research Institute Singapore Health Service Singapore Singapore.