Using MRI and AI to predict developmental issues in very preterm infants

MRI and Deep Learning for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants

NIH-funded research Cincinnati Childrens Hosp Med Ctr · NIH-10689695

This study is looking at very premature babies born before 32 weeks to find early signs of learning and movement challenges using special brain scans, so that doctors can provide better support and care as the babies grow.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionCincinnati Childrens Hosp Med Ctr NIH-funded
Lab location1 site (Cincinnati, United States)
Project IDNIH-10689695 on NIH RePORTER

What this research studies

This research focuses on very preterm infants born at or before 32 weeks of gestation, who are at risk for neurodevelopmental deficits. By utilizing advanced magnetic resonance imaging (MRI) and deep learning techniques, the study aims to identify early indicators of cognitive, language, and motor deficits before the infants reach the age of two. The approach involves analyzing brain structure and connectivity patterns through various MRI methods to create predictive models that can help in early diagnosis and intervention. This could lead to more personalized care and better outcomes for these vulnerable infants.

Who could benefit from this research

Good fit: Ideal candidates for this research are very preterm infants born at or before 32 weeks of gestation.

Not a fit: Patients who are not very preterm infants or those born after 32 weeks of gestation may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could enable earlier diagnosis and intervention for neurodevelopmental deficits in very preterm infants, potentially improving their long-term health and developmental outcomes.

How similar studies have performed: Other research has shown promise in using MRI and machine learning techniques for early diagnosis of neurodevelopmental issues, indicating that this approach has potential for success.

Where this research is happening

Cincinnati, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.