Evaluating Accuracy and Readability of Responses to Midlife Health Questions: A Comparative Analysis of Six Large Language Model Chatbots
LLM chatbots can answer midlife-related health questions with variable capabilities. Meta AI was found to be highest scoring chatbot for addressing men's and women's midlife health questions, whereas Perplexity offers high readability for accessible information. Hence, LLM chatbots can be used as educational tools for midlife health by selecting appropriate chatbots according to its capability.
Authors
- Shaikat Mondal (ORCID: https://orcid.org/0000-0001-5027-4657)
- Avijit Naskar
- Rajib Dutta (ORCID: https://orcid.org/0000-0001-6570-9238)
- Indrashis Podder (ORCID: https://orcid.org/0000-0002-9589-083X)
- Himel Mondal (ORCID: https://orcid.org/0000-0001-6950-5857)
- Devendra Nath Tiu
Institutions
- College of Medicine & Sagore Dutta Hospital (IN)
- Raiganj University (IN)
- Diamond Harbour Women's University (IN)
- Government Medical College and Hospital (IN)
- All India Institute of Medical Sciences, Deoghar (IN)
Publication Details
- Journal
- Journal of Mid-life Health
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4103/jmh.jmh_182_24
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31