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AI predicts COVID-19 ICU survival: no treatment, just data

NCT ID NCT07436572

Knowledge-focused Sponsor: University of Gaziantep 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This completed study looked at whether an artificial neural network (a type of AI) could predict how long COVID-19 patients in the ICU would need a breathing machine and whether they would survive. Researchers analyzed medical records from 113 ICU patients. No new treatment was given; the goal was to see if computer models could help doctors make better predictions.

What this could mean

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

What this could lead to
If successful, this approach could help doctors better predict which COVID-19 ICU patients are at highest risk, potentially improving care decisions.
What could go wrong
This was a small, retrospective study using existing data. The model may not work well in other hospitals or patient groups, and it did not test any treatment.

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

113 people

The number who actually took part.

Started

Feb 2024

Finished

Jan 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.

Who is studied

Adult patients diagnosed with COVID-19 and admitted to the intensive care unit (ICU) of Gaziantep University Faculty of Medicine between February 1, 2020 and June 30, 2020. The study includes patients aged 18 years and older whose demographic, clinical, laboratory, and outcome data were available for retrospective analysis.

Ages

18 to 98 years

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: Age ≥ 18 years Confirmed diagnosis of COVID-19 Admission to the intensive care unit (ICU) between February 1, 2020 and June 30, 2020 Availability of complete clinical, laboratory, and outcome data in medical records Exclusion Criteria: Age \< 18 years Incomplete or missing clinical data Transfer to another institution before outcome assessment Readmission to ICU during the same hospitalization (only first admission included)

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Conditions

The condition(s) this trial relates to.

COVID-19

As listed by the trial registrant

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

COVID-19 pandemic

Contacts and locations

Locations

  • Gaziantep University Hospital

    Gaziantep, 27310, Turkey (Türkiye)

More trials for these conditions

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