AI and home videos could spot cerebral palsy months earlier
NCT ID NCT04287166
First seen Jul 21, 2026 · Last updated Jul 22, 2026 · Updated 1 time
Summary
This study explores whether a new screening procedure can detect cerebral palsy (CP) earlier in high-risk infants using video recordings and artificial intelligence. Traditionally, CP is diagnosed between 12 and 24 months of age, but earlier detection could lead to better outcomes. Researchers will have parents and healthcare workers record infant movements on video, which will be analyzed remotely by experts and by machine learning models. The goal is to see if this remote approach is feasible and accurate enough to be used across a wide region.
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 enable earlier diagnosis and intervention for cerebral palsy, improving motor function and quality of life for affected children.
- What could go wrong
- This is a feasibility study with a small sample size, so results may not be generalizable. The AI and remote video methods may not match the accuracy of in-person expert assessments.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Department of Pediatrics, Møre and Romsdal Hospital Trust
Ålesund, Norway
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Department of Pediatrics, Nord-Trøndelag Hospital Trust
Levanger, Norway
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Department of Pediatrics, St. Olav's Hospital Trust
Trondheim, Norway
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