Can ChatGPT help ICU doctors make better decisions?

NCT ID NCT07708155

What the study statuses mean

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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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 16, 2026 · Last updated Jul 22, 2026 · Updated 3 times

Summary

This pilot study tests whether generative AI, like ChatGPT, can help doctors in intensive care make better clinical decisions. Physicians in a medical ICU are randomly assigned to use AI alongside usual resources or usual resources alone, then switch. The study measures satisfaction, usability, and decision-making quality through questionnaires. All final decisions remain with the doctors.

What this could mean

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

Active substance
generative AI (ChatGPT) as a clinical decision-support tool
What this could lead to
If successful, this approach could show that AI tools help ICU doctors make faster, more informed decisions, potentially improving patient care.
What could go wrong
This is a very small pilot study with only 15 participants, so results may not apply broadly. AI suggestions are only reference tools and could be inaccurate or misleading.

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

15 people

The number who actually took part.

Started

Dec 2025

Finished

May 2026

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

19 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: * Age 19 years or older. * Physicians, including residents, fellows, and attending physicians, working in the medical intensive care unit at Seoul National University Hospital. * Scheduled to work as a primary treating physician for at least 5 days during a planned observation period. * Able and willing to provide written informed consent. Exclusion Criteria: * Did not provide written informed consent. * Withdrew consent from study participation.

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As listed by the trial registrant

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

Contacts and locations

Locations

  • Seoul National University Hospital

    Seoul, Seoul, 03080, South Korea

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