Evaluating the Reliability and Readability of AI Chatbot Responses for Microtia Patient Education
None of the platforms consistently met both quality and readability standards, though Google Gemini performed relatively well. As reliance on AI for early health information grows, ensuring the accessibility of chatbot responses will be crucial for supporting informed decision-making and enhancing the patient experience.
Authors
- Taylor Kring
- Seth R. Thaller (ORCID: https://orcid.org/0000-0003-0190-0812)
- David Jonathan Cohen (ORCID: https://orcid.org/0000-0001-9163-724X)
- Supriya Dadi
- Kyle Latz
Institutions
- Southwest Research Institute (US)
- University of Miami (US)
Publication Details
- Journal
- Journal of Craniofacial Surgery
- Published
- 2025-10-02
- DOI
- https://doi.org/10.1097/scs.0000000000011988
- Citations
- 1
- Primary Topic
- Tracheal and airway disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.52