Health Technology/clinical-trials

Observational Study Opens: AI-Enhanced Gait Assessment in Paediatric Cerebral Palsy — Validating Low-Cost Mobility Prediction Models

247 Health News Editorial

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18 June 2026

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3 min read

·clinical-trials

New observational study validates AI-enhanced gait assessment tools for predicting mobility outcomes in 200 ambulatory children with cerebral palsy. Research could democratise access to objective movement analysis in resource-limited settings.

Originally reported by ClinicalTrials.gov

References

  1. 1.Australian Commission on Safety and Quality in Health Care. (2023). National Safety and Quality Digital Mental Health Standards. ACSQHC. https://www.safetyandquality.gov.au/standards/digital-mental-health-standards
  2. 2.Booth, A. T., Buizer, A. I., Meyns, P., Oude Lansink, I. L., Steenbrink, F., & van der Krogt, M. M. (2018). The efficacy of functional gait training in children and young adults with cerebral palsy: a systematic review and meta-analysis. Developmental Medicine & Child Neurology, 60(9), 866-883. https://doi.org/10.1111/dmcn.13708
  3. 3.Novak, I., Morgan, C., Adde, L., Blackman, J., Boyd, R. N., Brunstrom-Hernandez, J., ... & Badawi, N. (2017). Early, accurate diagnosis and early intervention in cerebral palsy: advances in diagnosis and treatment. JAMA Pediatrics, 171(9), 897-907. https://doi.org/10.1001/jamapediatrics.2017.1689
  4. 4.Oskoui, M., Coutinho, F., Dykeman, J., Jetté, N., & Pringsheim, T. (2013). An update on the prevalence of cerebral palsy: a systematic review and meta-analysis. Developmental Medicine & Child Neurology, 55(6), 509-519. https://doi.org/10.1111/dmcn.12080
  5. 5.Palisano, R., Rosenbaum, P., Walter, S., Russell, D., Wood, E., & Galuppi, B. (1997). Development and reliability of a system to classify gross motor function in children with cerebral palsy. Developmental Medicine & Child Neurology, 39(4), 214-223. https://doi.org/10.1111/j.1469-8749.1997.tb07414.x
  6. 6.Riphah International University. (2024). Rehabilitation Assessment of Motor Function in Ambulatory Children With Cerebral Palsy Using Explainable Machine Learning. ClinicalTrials.gov. NCT07629024. https://clinicaltrials.gov/study/NCT07629024
  7. 7.Russell, D. J., Avery, L. M., Rosenbaum, P. L., Raina, P. S., Walter, S. D., & Palisano, R. J. (2000). Improved scaling of the gross motor function measure for children with cerebral palsy: evidence of reliability and validity. Physical Therapy, 80(9), 873-885. https://doi.org/10.1093/ptj/80.9.873
  8. 8.Schwartz, M. H., & Rozumalski, A. (2008). The Gait Deviation Index: a new comprehensive index of gait pathology. Gait & Posture, 28(3), 351-357. https://doi.org/10.1016/j.gaitpost.2008.05.001
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247 Health News Editorial

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