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AI vs. doctors: ChatGPT tries to predict ICU needs

NCT ID NCT06726733

Knowledge-focused Sponsor: Bursa Yuksek Ihtisas Training and Research 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looked at whether ChatGPT-4, an AI tool, can accurately predict which emergency room patients need intensive care. Researchers compared the AI's predictions to decisions made by doctors for 624 patients. The goal is to see if AI can support clinical decision-making and reduce errors in ICU admissions.

What this could mean

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

Active substance
ChatGPT-4 artificial intelligence model
What this could lead to
If successful, this could show that AI can help doctors make faster, more accurate decisions about which patients need intensive care.
What could go wrong
This is a small, completed retrospective study, not a real-time test. AI predictions may not work as well in live emergency settings or with different patient groups.

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

624 people

The number who actually took part.

Started

Sep 2024

Finished

Feb 2025

Lead sponsor

A government agency

The lead sponsor is a government body.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

500

Ages

18 years and older

Sex

Anyone

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 aged 18 years and older who are consulted to the anesthesiology and reanimation clinic for ICU indications from the emergency department will be included in the study. Exclusion Criteria: * Patients consulted to the anesthesiology and reanimation clinic for ICU indications from inpatient services. * Patients consulted to the anesthesiology and reanimation clinic from the emergency department for reasons other than ICU indications. * Patients consulted to the anesthesiology and reanimation clinic for ICU indications from the emergency department but with insufficient recorded data (patients with data loss)

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As listed by the trial registrant

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

Artificial intelligence (AI) Clinical decision-making Emergency department patient Intensive care unit (ICU) admission

Contacts and locations

Locations

  • Bursa Yuksek Ihtisas Training and Research Hospital

    Bursa, Turkey (Türkiye)

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