Performance of Generative Artificial Intelligence Models in Answering Common Patient Questions About Nasal Polyps
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Hana B Ruran1, Sankalp Bhoyar2, Saleh Alsulami3
1Case Western Reserve University School of Medicine, Cleveland, OH, USA.
The Journal of Allergy and Clinical Immunology. in Practice
|October 28, 2026
Abstract
Clinical Implications:
Generative artificial intelligence platforms differed in accuracy, currency, relevance, and understandability, and clinical safety when answering common nasal-polyp questions. Clinicians should recognize these tradeoffs when counseling patients who use AI-generated health information.