REPRODUCIBLE IDENTIFICATION OF ACUTE-STAGE MILD TRAUMATIC BRAIN INJURY USING MACHINE LEARNING AND CONNECTOMICS

Abstract: a system and method operates for diagnosis of mild traumatic brain injury (mtbi) to prevent sequelae and improve neurocognitive outcomes. the system may have a processor that receives, from a magnetic resonance imaging machine, data corresponding to magnetic resonance imaging images. by using a machine learning classifier of the processor, such as a bayesian machine learning classifier, the processor identifies mild traumatic brain injury in a person through cortico-cortical connectome mapping from magnetic resonance imaging. the processor can also generate a human readable screen display indicative of the identified mild traumatic brain injury.

Inventor(s): Andrei Irimia

CPC Classification: G06T7/0012 ({Biomedical image inspection})

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