ArticleFrontiers in digital health2026
Patients' perception towards large language models in otorhinolaryngology, head and neck surgery: a single-centre survey.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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8 authors.
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Abstract
Objectives: Large language models (LLMs) are increasingly discussed for use in clinical practice. Beyond their performance, patients' acceptance is crucial for their implementation. We investigated ORL-HNS patients' familiarity with AI/LLMs, use patterns, and trust in LLM-based medical information and recommendations. Methods: In this single-centre prospective survey at a German university hospital, ORL-HNS patients with and without malignant disease completed a 15-item questionnaire. Results: A total of 123 patients, 20 (16%) with and 103 (84%) without malignant disease, participated in the study. Most patients were familiar with the term AI (96%, Conclusion: ORL-HNS patients are largely familiar with LLMs and frequently use them, but their trust and confidence regarding health information provided by LLMs alone is limited. Patients show the greatest confidence in doctors' recommendations. Yet they reported similar confidence in physician recommendations and physician recommendations supported by LLMs, suggesting that clinician-led LLM use may be acceptable to many patients.
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