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AI tool aims to predict and prevent kidney damage after surgery

NCT ID NCT07604662

Knowledge-focused Sponsor: University of California, San Francisco 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether a machine-learning tool built into electronic health records can help doctors reduce kidney injury after surgery. Over 25,000 adults having non-emergency surgery will take part. Doctors are randomly assigned to see the tool's risk prediction, see it with an alert, or not see it at all. The goal is to see if the tool improves care and lowers kidney damage.

What this could mean

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

Active substance
EHR-Embedded AKI Risk Score (a machine-learning tool that predicts kidney injury risk)
What this could lead to
If it works, this could show that using a computer tool in medical records helps doctors protect patients' kidneys after surgery, reducing complications.
What could go wrong
This is a pragmatic trial testing a decision-support tool, not a new drug. The tool only advises doctors, so its impact depends on whether doctors follow the recommendations. Results may not apply to other hospitals.

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 25,518 people

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

Expected to start

Oct 2026

An estimate. Start dates often move.

Expected to finish

Dec 2027

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

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Adults ≥18 years undergoing non-obstetric surgery at UCSF. * Inpatient cases with expected overnight stay. * Baseline eGFR ≥15 mL/min/1.73 m². * Managed by an attending anesthesiologist randomized to one of three arms (CRNAs/residents follow attending). * Data available in the UCSF EHR for risk scoring and outcomes. Exclusion Criteria: * Obstetric procedures. * Chronic dialysis patients. * Kidney transplant recipients. * Cases without baseline creatinine/eGFR or missing essential EHR elements needed for scoring/outcomes (operational exclusions). * Outpatient procedures without expected overnight stay.

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Conditions

The condition(s) this trial relates to.

acute kidney injury

As listed by the trial registrant

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

Acute kidney injury Anesthesia Surgery--complications

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

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

    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

  • University of California, San Francisco

    San Francisco, California, 94158, United States

More trials for these conditions

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