Researchers report that a standard camera linked to artificial intelligence can help detect impaired motor function in newborns, potentially supporting earlier diagnosis of movement-related disorders. The approach uses AI-driven motion capture to assess how infants move soon after birth.
The work, described by multiple outlets, is based on a study by a French research team investigating the method in the context of spinal muscular atrophy (SMA), a rare genetic neuromuscular condition. SMA can involve hypotonia, or reduced muscle tone, which limits active movement in infants. By focusing on observable movement patterns rather than only traditional clinical assessment, the tool aims to flag signs of reduced motor function during the early postnatal period.
While the outlets agree on the general concept and target condition, they emphasize different framing: one highlights the broader potential for movement-disorder diagnosis in newborns, while the other specifically underscores early identification of hypotonia-related impairments and connects the camera-AI system to possible diagnostic support for SMA. Both describe the results as promising, with the work positioned as further research and development rather than a finalized clinical standard.
