aceLarge language models' performance in answering common patient questions about colonoscopy: an expert-based evaluation
Background This study aimed to compare the performance of two large language models (LLMs) the ChatGPT-4 and the Google Bard in delivering medical information about colonoscopy. It also sought to evaluate the models' responses to common patient and caregiver questions in terms of accuracy, applicability, comprehensiveness, and communication quality, as assessed by experts using a rubric-based method. Methods This comparative, expert-based observational study analyzed the responses of both models to 11 colonoscop…
Gastroenterologists rated ChatGPT-4's Turkish-language answers to common colonoscopy questions highly, with over 70% of ratings at 4 or above in every domain, outperforming Google Bard.
The evaluation covered only 11 questions, two specific models, and expert ratings; the authors note that different LLM versions may yield different results and that human oversight remains essential.
Evidence
- Peer-reviewedBMC Gastroenterology2026-10-01
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Truvace Impact Record TRV-2026-1413, v1: “Large language models' performance in answering common patient questions about colonoscopy: an expert-based evaluation.” Truvace, 2026-10-15. /record/TRV-2026-1413 (accessed at citation time). sha256 0714f3ab667c88d8…
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