A Simulated Case Study of a Peritoneal Dialysis-Specialized Large Language Model Assisting Doctors in Improving Decision-Making in Peritoneal Dialysis Management
Enrolling by invitation · Not applicable
Conditions studied: Peritoneal Dialysis (PD), Large Language Models
In brief
This study is a randomized controlled trial based on simulated clinical cases, aiming to establish a standardized evaluation system for PD physicians, to assess the differences in PD management quality between a workflow assisted by a PD-specialized large language model and physician-only decision-making, and to identify potential risks (such as generating obviously erroneous or even harmful recommendations). This simulated clinical case framework not only supports standardized and blinded evaluation, but also provides preliminary evidence for the model's effectiveness and safety before its deployment in real clinical settings, while avoiding direct impact on real patients.
Key facts
- Study ID
- NCT07724327
- Run by
- First Affiliated Hospital, Sun Yat-Sen University
- People needed
- 100
- Starts
- 2026-07-10
- Expected to finish
- 2026-09-30
- Last updated by the study team
- 2026-07-24
Who can join
Age: any. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Internal medicine or nephrology standardized training residents, licensed residents, or attending physicians.
- Independent experience in PD management ≤ 3 years.
- Provided signed informed consent and agreed to comply with the trial procedures.
You may not qualify if…
- Direct involvement in the development or training of the specialized PD large language model, or in the construction of the clinical scenarios/ scoring criteria used in this trial.
- Participation in the pilot testing of all clinical scenarios used in this trial.
- Inability or unwillingness to access the study platform or use online resources during the study period.
- Experienced PD experts.
Where it is running
- The First Affiliated Hospital of Sun Yat-sen University — Guangzhou, Guangdong, China
Full record on ClinicalTrials.gov
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