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AI models tested to predict lung disease in preterm infants

NCT ID NCT07525167

Knowledge-focused Sponsor: Konya City 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 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jul 10, 2026 · Updated 2 times

Summary

This study looks at whether artificial intelligence (AI) tools like ChatGPT, Gemini, and Claude can predict bronchopulmonary dysplasia (a serious lung condition) in premature babies. Researchers will use medical records from the first three weeks of life for 108 infants born before 32 weeks or weighing under 1,500 grams. No treatments are given—the goal is simply to see how well the AI models can forecast the disease compared to actual outcomes.

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 could show that AI can help doctors identify high-risk preterm infants earlier, potentially leading to better monitoring and care.
What could go wrong
This is a small, early-stage observational study with no treatment tested. The AI predictions may not be accurate enough for real-world use, and 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.

Participants

About 108 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 2026

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.

Who is studied

A retrospective cohort of preterm infants (\<32 weeks gestation or \<1,500 g) admitted to the NICU of Konya City Hospital. Only infants with complete clinical data and documented BPD status are included. Both sexes are included.

Ages

0 to 28 days

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: * Preterm infants born before 32 weeks of gestation or with birth weight \<1,500 grams * Admitted and followed in the Neonatal Intensive Care Unit (NICU) of Konya City Hospital * Availability of complete clinical data in hospital records * Documented bronchopulmonary dysplasia (BPD) outcome status Exclusion Criteria: * Presence of major congenital anomalies * Incomplete or missing clinical data * Death shortly after birth with insufficient follow-up data to determine BPD status

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Conditions

The condition(s) this trial relates to.

bronchopulmonary dysplasia Premature Birth

As listed by the trial registrant

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

Bronchopulmonary dysplasia

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

  • Konya City Hospital, İstiklal, Adana Çevre Yolu Cd. No:135/1

    Konya, 42020, Turkey (Türkiye)

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