Evaluating Accuracy and Readability of Responses to Midlife Health Questions: A Comparative Analysis of Six Large Language Model Chatbots.

Journal: Journal of mid-life health
Published Date: Apr 5, 2025

Abstract

BACKGROUND: The use of large language model (LLM) chatbots in health-related queries is growing due to their convenience and accessibility. However, concerns about the accuracy and readability of their information persist. Many individuals, including patients and healthy adults, may rely on chatbots for midlife health queries instead of consulting a doctor. In this context, we evaluated the accuracy and readability of responses from six LLM chatbots to midlife health questions for men and women.

Authors

  • Himel Mondal
    Department of Physiology, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
  • Devendra Nath Tiu
    Department of Physiology, Sheikh Bhikhari Medical College, Hazaribagh, Jharkhand, India.
  • Shaikat Mondal
    Department of Physiology, Raiganj Government Medical College and Hospital, West Bengal, India.
  • Rajib Dutta
    Department of Gynecology and Obstetrics, Diamond Harbour Government Medical College and Hospital, Diamond Harbour, West Bengal, India.
  • Avijit Naskar
    Department of General Medicine, Baruipur Sub-Divisional Hospital, Baruipur, West Bengal, India.
  • Indrashis Podder
    Department of Dermatology, College of Medicine and Sagore Dutta Hospital, Kolkata, West Bengal, India.

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