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AI takes on dialysis: a smarter way to treat kidney failure in ICUs

NCT ID NCT07312929

Knowledge-focused Sponsor: University of Alberta 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 This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 study aims to develop and test artificial intelligence (AI) tools to help doctors prescribe and deliver acute dialysis better for patients in intensive care. Researchers will analyze data from 7,500 patients to create algorithms that can predict the best treatment approaches. The goal is to improve patient survival, kidney recovery, and reduce hospital costs.

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

About 7,500 people

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

Expected to start

Jun 2026

An estimate. Start dates often move.

Expected to finish

Jun 2031

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.

Who is studied

The study population will comprise critically ill patients admitted to an intensive care unit who require acute renal replacement therapy.

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 Patients admitted to an intensive care unit (ICU) who require acute renal replacement therapy, either intermittent or continuous. Exclusion Criteria Receipt of renal replacement therapy for less than 24 hours. Pre-existing end-stage kidney disease.

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Conditions

The condition(s) this trial relates to.

acute kidney injury kidney disorder

As listed by the trial registrant

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

Quality health care Renal dialysis Renal diseases Renal replacement therapy

How to take part

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

  1. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  2. 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.

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