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ENROLLING BY INVITATION
NCT07724327
NA

A Simulated Case Study of a Peritoneal Dialysis-Specialized Large Language Model Assisting Doctors in Improving Decision-Making in Peritoneal Dialysis Management

Sponsor: First Affiliated Hospital, Sun Yat-Sen University

View on ClinicalTrials.gov

Summary

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.

Official title: Generative AI-Assisted Understanding and Decision Enhancement in Peritoneal Dialysis: A Randomized Controlled Trial (The GUIDE-PD Trial)

Key Details

Gender

All

Age Range

Any - Any

Study Type

INTERVENTIONAL

Enrollment

100

Start Date

2026-07-10

Completion Date

2026-09-30

Last Updated

2026-07-24

Healthy Volunteers

Yes

Interventions

OTHER

Peritoneal dialysis-specialized large language model.

The peritoneal dialysis-specialized large language model (PD-LLM) used in this study was jointly developed by the Department of Nephrology at the First Affiliated Hospital of Sun Yat-sen University and Digital Health China (DHC).

Locations (1)

The First Affiliated Hospital of Sun Yat-sen University

Guangzhou, Guangdong, China