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TruaceTracing the truth around AISunday, September 20, 2026
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TRV-2026-1148Certified recordPeer-reviewed

Do bots provide correct and adequate guidance regarding acidity: A blinded comparison rated by patients and physicians

Background Large language models (LLMs) are increasingly accessed by patients for gastrointestinal health information. Despite their growing use, concerns persist regarding accuracy, empathy, actionability, and readability of responses generated by LLMs. Aim To assess the responses generated by ChatGPT-5, Gemini-2.5, and Claude-4 for common patient questions on "acidity" (heartburn/dyspepsia/gastroesophageal reflux disease). Methods Thirty-nine frequently asked questions were submitted to each model. Responses w…

Health · P Space — documented harm · certified 2026-09-20 · v1 · article view · machine-readable

Current reading — problem

Despite their growing use, concerns persist regarding accuracy, empathy, actionability, and readability of responses generated by LLMs.

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Truvace Impact Record TRV-2026-1148, v1: “Do bots provide correct and adequate guidance regarding acidity: A blinded comparison rated by patients and physicians.” Truvace, 2026-09-20. /record/TRV-2026-1148 (accessed at citation time). sha256 3d673ec1409fda44…

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