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Double-blind pilot study reveals AI improves surgical consent comprehensibility over standard forms, suggesting potential for hybrid expert workflows.
BACKGROUND: Informed consent documents often exceed recommended readability levels, potentially compromising patients' decision-making. AIMS/OBJECTIVES: This pilot feasibility study evaluated two large language models (LLMs), ChatGPT-5.2 and Gemini 3 Pro, as tools for generating more comprehensible otolaryngology surgical consent forms, and estimated effect-size parameters for a future trial. MATERIALS AND METHODS: In a prospective, double-blind design, 123 Turkish consent documents (41 procedures × 3 sources: official forms, ChatGPT-5.2 and Gemini 3 Pro) were evaluated. Three independent otolaryngologists rated medical quality on five 5-point criteria; five blinded lay volunteers rated comprehensibility. Two validated Turkish readability indices (Ateşman; Bezirci-Yılmaz) provided objective measurement. Comparisons used linear mixed-effects models. CONCLUSIONS AND SIGNIFICANCE: Publicly available LLMs, particularly Gemini 3 Pro, can substantially improve consent-form comprehensibility at some cost to medical-accuracy and ethical-legal adequacy; these findings motivate evaluation of a hybrid AI-plus-expert workflow in a future confirmatory trial.
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Bakın et al. (2026) studied this question.
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