Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models.

Journal: Journal of medical Internet research
PMID: 40106799

Abstract

BACKGROUND: Dietary supplements (DSs) are widely used to improve health and nutrition, but challenges related to misinformation, safety, and efficacy persist due to less stringent regulations compared with pharmaceuticals. Accurate and reliable DS information is critical for both consumers and health care providers to make informed decisions.

Authors

  • Yu Hou
    Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN 55455, USA.
  • Jeffrey R Bishop
    Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, United States.
  • Hongfang Liu
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.

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