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Intelligent, Adaptive, and Multimodal Data-Driven Epileptogenic Zone Identification and Cognitive Function Mapping Platform (UCLA Case No. 2023-214)

Summary: UCLA researchers in the Departments of Neurology and Electrical and Computer Engineering have developed a data-driven, deep learning-powered software platform to localize epileptogenic tissues in the brain and cognitively map nearby regions. Background: According to the World Health Organization, 50 million people around the world suffer...

Published: 8/19/2024 | Inventor(s): Vwani Roychowdhury, Hiroki Nariai, Richard Staba, Yipeng Zhang

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Biomonitoring, Brain Mapping, Condition monitoring, Deep Learning, Digital Health, Digital Pathology, Electroencephalography (EEG), Epilepsy, Hospital Systems And Devices, Medical Device, Medical Devices and Materials, Monitoring (Medicine), Monitoring And Recording Systems, MRI, PET, remote monitoring, Software, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems