AI tutor for kidney doctors: can a chatbot improve dialysis decisions?

NCT ID NCT07724327

ENROLLING_BY_INVITATION Knowledge-focused Sponsor: First Affiliated Hospital, Sun Yat-Sen University Source: ClinicalTrials.gov ↗

First seen Jul 24, 2026 · Last updated Jul 24, 2026

Summary

This trial tests whether a specialized AI language model can help doctors manage peritoneal dialysis more effectively. One hundred physicians with limited PD experience will work through simulated patient cases, either with or without AI assistance. The study measures decision accuracy, time spent, and potential harm from AI suggestions, all in a safe, simulated environment.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: a specialized large language model for peritoneal dialysis (PD-LLM)
What this could lead to: If effective, this AI tool could help less experienced doctors manage peritoneal dialysis patients more safely and accurately.
What could go wrong: This is an early simulated-case study, not a real-patient trial. The AI may generate incorrect or harmful recommendations, and results may not translate to actual clinical settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

LARGE LANGUAGE MODELS PERITONEAL DIALYSIS (PD)

Contacts and locations

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Locations

The First Affiliated Hospital of Sun Yat-sen University

Guangzhou, Guangdong, 510080, China

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