Address: 4330 East West Highway, Suite #1000 Bethesda, MD 20814
Released:9/11/2019
Regulator:FDA
BrainScope TBI is a portable, non-invasive device that assists clinicians in evaluating patients with mild traumatic brain injury and concussion by analyzing brain electrical activity through EEG along with cognitive tests and clinical symptoms. It helps identify the likelihood of structural brain injury and assesses brain function, supporting decisions about the need for further imaging like CT scans.
View detailsReleased:9/22/2016
Regulator:FDA
The Ahead 300 is a portable, non-invasive medical device that records and analyzes brain electrical activity to assist clinicians in evaluating patients with closed head injuries. It provides algorithm-based classifications of structural brain injury and measures brain function and cognitive performance to support diagnosis and treatment decisions, particularly to aid in deciding on the necessity of head CT scans.
View detailsReleased:5/15/2015
Regulator:FDA
The BrainScope Ahead 200 is a portable EEG device designed to aid physicians in evaluating patients with mild traumatic brain injury by measuring and analyzing brain electrical activity. It supports clinical decision-making regarding the need for head CT scans by providing objective quantitative EEG parameters. The device is intended for use as an adjunct to standard clinical practice and includes features such as continuous impedance monitoring and cognitive assessment tools for military use. It helps clinicians by providing rapid brain activity data to support the assessment of brain injury severity without replacing imaging such as CT scans.
View detailsReleased:11/17/2014
Regulator:FDA
The BrainScope Ahead 100 is a portable EEG-based device designed to assist physicians in evaluating patients with mild traumatic brain injury. It analyzes brain electrical activity to help decide if a head CT scan is needed, potentially reducing unnecessary CT scans and radiation exposure. The device processes EEG data using AI-driven algorithms to classify patients based on the likelihood of structural brain injury visible on CT.
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