TORONTO – “There’s no magic pill that helps patients with concussion except physical activity,” Ashleigh Kennedy, CEO of Neurovine Inc. told BioWorld. But how does a patient in rehab know when to put on the brakes if they’re working too hard physically or mentally?
Although artificial intelligence (AI) seems to be making only incremental headway in the world of medical technology, Brainscope Co. Inc., continues to advance its AI offerings with the launch of the Concussion Index (CI). This algorithm, used with the company’s disposable headset, has been demonstrated to reduce the need for cranial CT scans by 30%, making this a double win for patients and for health care spending in the U.S.
A new $23 million in funds gives Brainbox Solutions Inc. a head start as it begins enrollment in the pivotal clinical trial of its mild traumatic brain injury (TBI) diagnostic and prognostic test. Bioventures Investors took the lead in the series A financing. The Tauber Foundation, the Virginia Tech Carilion Innovation and Seed Funds, Genoa VC, Pharmakon Holdings LLC, and Astia Angels participated in the fundraising round along with qualified investors including the Cleveland Cavaliers' Kevin Love, a mental health advocate.
Concussion and traumatic brain injury (TBI) are serious public health problems, but they can be tricky to diagnose, with symptoms sometimes not presenting for days or weeks following a head injury. Abnormal eye movement can indicate a TBI, but traditional "follow my finger" screenings won't pick up more subtle changes in vision. Artificial intelligence (AI) could improve diagnosis by measuring deficits in certain eye movements that occur with a TBI. In a study published online July 25, 2019, in the journal Concussion, Bethesda, Md.-based Righteye Inc.'s FDA eye-tracking technology not only identified but scaled the severity of TBIs by measuring horizontal and vertical saccades, rapid eye movements between fixed points.