AI RESEARCH
A Hybrid Machine Learning Model for Cerebral Palsy Detection
arXiv CS.CV
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ArXi:2603.06803v1 Announce Type: new The development of effective treatments for Cerebral Palsy (CP) can begin with the early identification of affected children while they are still in the early stages of the disorder. Pathological issues in the brain can be better diagnosed with the use of one of many medical imaging techniques. Magnetic Resonance Imaging (MRI) has revolutionized medical imaging with its unparalleled image resolution. A unique Machine Learning (ML) model that was built to identify CP disorder is presented in this paper.