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Linking the Gap Between Traumatic Brain Injuries & Cognitive Impairments Through the Creation of Machine Learning Based Diagnostic & Prognostic Clinic (Case No. 2026-251)
Summary: UCLA researchers have developed a machine learning-based clinical decision support tool that predicts patient-specific cognitive impairments following traumatic brain injury (TBI) using neuroimaging and multimodal clinical data. The software leverages MRI-derived structural brain information to generate individualized diagnostic and prognostic...
Published: 4/30/2026   |   Updated: 4/30/2026   |   Inventor(s): Sonya Ashikyan, Martin Monti, Jeffrey Chiang
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Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Bioinformatics, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > CT, Medical Devices > Medical Imaging > MRI, Therapeutics > CNS and Neurology, Therapeutics