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AI vs. doctors: who spots kidney danger from chemo first?

NCT ID NCT07114276

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 study tested whether a machine learning model could predict kidney injury caused by platinum chemotherapy more accurately than doctors. Researchers followed 77 cancer patients receiving cisplatin or carboplatin, tracking their kidney function over time. The goal was to see if the computer model could better forecast acute kidney injury within 14 days or kidney disease within 89 days, compared to clinical judgment.

What this could mean

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

Active substance
machine learning model
What this could lead to
If successful, this could help doctors identify patients at high risk for kidney damage from platinum chemotherapy, allowing for earlier protective measures.
What could go wrong
This is a small, completed study (77 patients) that only tests prediction accuracy, not whether using the model actually improves patient outcomes. The model may not work as well in other populations or 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.

Participants

77 people

The number who actually took part.

Started

Oct 2023

Finished

Nov 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

All patients admitted to Wan Fang Hospital during the period of the study. Patients used at least one dose of cisplatin or carboplatin as chemotherapy.

Ages

20 to 89 years

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: * Patients under clinical diagnosis of cancer with treatments including at least taking one course treatment of Cisplatin and Carboplatin from Dec,2022 to July,2026, at least having one serum creatinine data before and after the administration, willing to provide DNA sample and sign the informed consent will be recruited. Exclusion Criteria: * Patients who are young than 20 years old or older than 89 years old, pregnant women, infected by Human Immunodeficiency Virus (HIV), administered by Ifosfamide, couldn't evaluate their kidney function, refuse to provide DNA sample and sign the informed consent will be excluded.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

Contacts and locations

Locations

  • Taipei Medical University Wan Fang Hospital

    Taipei, Taiwan

More trials for these conditions

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