acePerformance of large language models in providing patient- oriented information on gingival recession: a comparative study
Patients are increasingly turning to large language models (LLMs) for health information, but the quality of patient-oriented information remains uncertain. This article evaluated the performance of three major LLMs in answering clinically relevant patient's questions related to gingival recession. A descriptive comparative study was carried out utilizing twenty standardized patient-centered questions related to gingival recession. Each question was submitted once to ChatGPT 5.5, Gemini 3.5, and Claude Sonnet 5,…
Periodontist ratings found ChatGPT, Gemini and Claude similarly accurate and complete on gingival recession questions, suggesting they could supplement patient education.
Each question was submitted only once to each model and the evaluation covered a single topic, so the findings may not generalize to other conditions or repeated queries.
Evidence
- Peer-reviewedThe Saudi Dental Journal2026-10-19
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Truvace Impact Record TRV-2026-2140, v1: “Performance of large language models in providing patient- oriented information on gingival recession: a comparative study.” Truvace, 2026-10-22. /record/TRV-2026-2140 (accessed at citation time). sha256 09bb507730c1e4a3…
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