MicrotiaGPT : Appraisal of Microtia Care Recommendations From an Artificially Intelligent Chatbot
ABSTRACT Objective Evaluate the accuracy, comprehensiveness, and similarity to provider response of ChatGPT‐4o in providing patient education regarding microtia and aural atresia management. Methods Ten standardized inquiries were created across three domains (General Information, Hearing/Anatomy, Treatment Decision‐Making) and entered into ChatGPT‐4o. Responses were evaluated by an international multidisciplinary cohort of 23 experts, including pediatric otolaryngologists and audiologists. Using 5‐point Likert scales, graders assessed factual accuracy, comprehensiveness, similarity to physician responses, and overall quality. Readability was analyzed using Flesch–Kincaid metrics. Results ChatGPT‐generated responses demonstrated high accuracy (mean = 4.03 [SD = 0.66]), comprehensiveness (mean = 4.18 [SD = 0.54]), and similarity to the provider's response (4.02 [0.70]). Audiologists assigned significantly lower ratings than pediatric otolaryngologists regarding accuracy (mean = 3.76 vs. 4.13; p < 0.001) and comprehensiveness (3.94 vs. 4.30; p = 0.046). Qualitative analysis included concerns regarding advanced terminology, omission of specific risks, and a lack of empathetic framing regarding parental guilt. Flesch–Kincaid Reading Grade Level often exceeded the 5th‐grade average level for patient education materials (mean = 9.64 [SD = 1.21]). Conclusion ChatGPT‐4o provides reliable introductory information but lacks the technical nuance and multidisciplinary coordination essential for complex microtia care. While a useful adjunct for early information‐seeking, ChatGPT‐4o lacks the multidisciplinary framing and depth required for ideal counseling.
Authors
- Beth Osterbauer (ORCID: https://orcid.org/0000-0003-2774-3229)
- Oluwatobiloba Ayo‐Ajibola (ORCID: https://orcid.org/0009-0002-4824-7160)
- Gabriel Gomez
- Krystina Kallemeyn
- Simon Park
Institutions
- University of Southern California (US)
- Children's Hospital of Los Angeles (US)
- Texas Children's Hospital (US)
Publication Details
- Journal
- Laryngoscope Investigative Otolaryngology
- Published
- 2026-08-27
- DOI
- https://doi.org/10.1002/lio2.70526
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00