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AI vs doctors: who makes better dialysis decisions?

NCT ID NCT07539428

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

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only This study
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether a special AI tool (a large language model trained on dialysis care) can help doctors make better decisions for patients on peritoneal dialysis. 150 doctors will review fictional patient cases, some using the AI and some not. Researchers will compare the accuracy of their decisions and check for any harmful suggestions from the AI.

What this could mean

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

Active substance
Peritoneal dialysis-specialized large language model (PD-LLM)
What this could lead to
If successful, this could show that AI tools help doctors manage dialysis more accurately and safely, potentially improving patient outcomes.
What could go wrong
This is a small, early-stage study using fictional patient cases, not real patients. The AI might give wrong or harmful advice, and results may not apply to real-world settings.

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

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 150 people

The number the study aims to enrol. It can still change while the study runs.

Started

Apr 2026

Expected to finish

May 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. Internal medicine or nephrology standardized training residents, licensed residents, or attending physicians. 2. Independent experience in PD management ≤ 3 years. 3. Provided signed informed consent and agreed to comply with the trial procedures. Exclusion Criteria: 1. 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. 2. Participation in the pilot testing of all clinical scenarios used in this trial. 3. Inability or unwillingness to access the study platform or use online resources during the study period. 4. Experienced PD experts.

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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)

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Sixiu Chen

    Guangzhou, Guangdong, 510080, China

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