Assessing online chat-based artificial intelligence models for weight loss recommendation appropriateness and bias in the presence of guideline incongruence.

Journal: International journal of obesity (2005)
Published Date: May 1, 2025

Abstract

BACKGROUND AND AIM: Managing obesity requires a comprehensive approach that involves therapeutic lifestyle changes, medications, or metabolic surgery. Many patients seek health information from online sources and artificial intelligence models like ChatGPT, Google Gemini, and Microsoft Copilot before consulting health professionals. This study aims to evaluate the appropriateness of the responses of Google Gemini and Microsoft Copilot to questions on pharmacologic and surgical management of obesity and assess for bias in their responses to either the ADA or AACE guidelines.

Authors

  • Eugene Annor
    Department of Internal Medicine, University of Illinois College of Medicine, Peoria, IL, USA. eug.annor@gmail.com.
  • Joseph Atarere
    Department of Medicine, MedStar Health, Baltimore, MD, USA.
  • Nneoma Ubah
    Department of Internal Medicine, Montefiore St. Luke's Cornwall Hospital, Newburgh, NY, USA.
  • Oladoyin Jolaoye
    Department of Internal Medicine, University of Illinois College of Medicine, Peoria, IL, USA.
  • Bryce Kunkle
    Department of Medicine, Georgetown University Hospital, Washington, DC, USA.
  • Olachi Egbo
    Department of Medicine, Aurora Medical Center, Oshkosh, WI, USA.
  • Daniel K Martin
    Department of Gastroenterology and Hepatology, University of Illinois College of Medicine, Peoria, IL, USA.

Keywords

External Resources

Popular Topics
Recent Journals