Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis.

Journal: Journal of biomedical science
PMID: 40335969

Abstract

BACKGROUND: The emergence of Artificial Intelligence (AI), particularly Chat Generative Pre-Trained Transformer (ChatGPT), a Large Language Model (LLM), in healthcare promises to reshape patient care, clinical decision-making, and medical education. This review aims to synthesise research findings to consolidate the implications of ChatGPT integration in healthcare and identify research gaps.

Authors

  • Usman Iqbal
    Institute for Evidence-Based Healthcare, Faculty of Health Sciences & Medicine, Bond University, Gold Coast, Australia.
  • Afifa Tanweer
    Department of Nutrition & Dietetics, School of Health Sciences, University of Management and Technology, Lahore, Pakistan.
  • Annisa Ristya Rahmanti
    Department of Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
  • David Greenfield
    School of Population Health, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, Australia.
  • Leon Tsung-Ju Lee
    Graduate Institute of Clinical Medicine, Taipei Medical University, Taipei, Taiwan.
  • Yu-Chuan Jack Li
    Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.

Keywords

External Resources

Popular Topics
Recent Journals