AI models tested to predict lung disease in preterm infants

NCT ID NCT07525167

Not yet recruiting Knowledge-focused Sponsor: Konya City Hospital Source: ClinicalTrials.gov ↗

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.

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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

Contacts and locations

Locations

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

Konya, 42020, Turkey (Türkiye)

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