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AI could predict dialysis problems before they happen

NCT ID NCT07466329

Knowledge-focused Sponsor: Huashan Hospital 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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This completed study at Huashan Hospital looked at data from 778 adults on long-term hemodialysis. Researchers used artificial intelligence to build models that could give early warnings about inadequate dialysis and help diagnose complications like heart disease. The goal is to create a decision-support tool for doctors, but the models are still in the research phase.

What this could mean

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

What this could lead to
If successful, this could lead to an AI tool that helps doctors detect early signs of inadequate dialysis and prevent complications like heart disease in kidney patients.
What could go wrong
This is an observational study, not a treatment trial. The AI models are still being developed and need further testing before they can be used in clinics.

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.

Participants

778 people

The number who actually took part.

Started

Jan 2011

Finished

Sep 2025

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.

Who is studied

The study population consists of patients receiving maintenance hemodialysis at the Hemodialysis Center of Huashan Hospital between January 2011 and September 2025. Eligibility criteria require patients to be aged 18-90 years with a dialysis vintage of at least 3 months. Additionally, participants must have comprehensive clinical and follow-up data maintained within the center's electronic medical record system.

Ages

18 to 90 years

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: * Patients undergoing long-term maintenance hemodialysis with a dialysis vintage of at least 3 months. * Aged between 18 and 90 years. * Possess relatively comprehensive hemodialysis records maintained within this center. Exclusion Criteria: * Patients with significantly incomplete dialysis-related data. * Patients with poor compliance during dialysis or those receiving palliative dialysis. * Other conditions deemed unsuitable by the investigator.

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Conditions

The condition(s) this trial relates to.

chronic kidney disease chronic renal failure syndrome end stage renal failure

As listed by the trial registrant

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

ESRD (end-stage renal disease)

Contacts and locations

Locations

  • Huashan Hospital, Fudan University

    Shanghai, Shanghai Municipality, 200040, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.