A comparative analysis of generative artificial intelligence responses from leading chatbots to questions about endometriosis
The analysis of LLMs revealed that, on average, they mainly provided correct but inadequate responses to commonly asked patient questions about endometriosis. While chatbot responses can serve as valuable supplements to information provided by licensed medical professionals, it is crucial to maintain a thorough ongoing evaluation process for outputs to provide the most comprehensive and accurate information to patients. Further research into this technology and its role in patient education and treatment is crucial as generative AI becomes more embedded in the medical field.
Authors
- Milan Ho (ORCID: https://orcid.org/0000-0002-0766-7786)
- Donald McIntire
- Kimberly A. Kho (ORCID: https://orcid.org/0000-0003-3607-5779)
- Katherine Smith
- Natalie D Cohen
Institutions
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- AJOG Global Reports
- Published
- 2024-10-05
- DOI
- https://doi.org/10.1016/j.xagr.2024.100405
- Citations
- 8
- Primary Topic
- Uterine Myomas and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.66