aceAssessment of accuracy, quality, and readability of large language models in kidney transplantation practice
Purpose: This study aimed to comparatively evaluate the accuracy, overall quality, and readability of responses generated by three contemporary large language models (LLMs)-Grok AI, ChatGPT-5 Plus, and Gemini 2.5 Flash-to clinical questions commonly encountered in kidney transplantation (KT) practice. Methods: Ten open-ended clinical scenarios covering surgical techniques, complication management, immunosuppressive strategies, and perioperative care were independently assessed by two experienced physicians. LLM-…
Grok AI, ChatGPT-5 Plus and Gemini 2.5 Flash gave highly rated, statistically comparable answers to complex kidney transplantation questions, suggesting a possible adjunct decision-support role under physician oversight.
The authors note that LLMs can hallucinate, that only ten scenarios were assessed, and that responses were evaluated as text at a single time point, which limits generalizability.
Evidence
- Peer-reviewedWorld Journal of Urology2026-10-16
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Truvace Impact Record TRV-2026-1645, v1: “Assessment of accuracy, quality, and readability of large language models in kidney transplantation practice.” Truvace, 2026-10-17. /record/TRV-2026-1645 (accessed at citation time). sha256 95ff477792f5c45f…
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