Rapid, accurate, clinical decision support

Advanced digital signal processing of EEG data at the core of FDA cleared A.I., machine learning derived algorithms, empower clinicians to rule out likelihood of brain bleed & objectively assess for concussion

 

Science & tech 2

How BrainScope Works : Use of EEG based brain biomarkers to assess head injured patients and assist clinicians in their diagnosis

Exceptionally well validated with sensitivity well above that of commonly used diagnostic tools for other medical conditions

12 years of development funded in part by 8 Department of Defense studies and 2 GE/NFL Head Challenge grants

 

 

sensitivity

 

BrainScope Structural Injury Classifier was demonstrated to objectively identify the likelihood of a brain bleed with 99% sensitivity to even the smallest amount of detectable blood (≥1 mL). 

It is rocket science, here's what makes it work

 

Hardware

 

 

Headset+device

 

 

The handheld medical device acquires  EEG data recorded from the proprietary 8-electrode disposable headset

EEG Brain Activity  Database

 

EEG Database

 

 

Advanced signal processing captures changes in brain activity distinctive of TBI including measures that reflect disruption in neuronal transmission (connectivity), disorganization of neural networks & changes in neurotransmitters

A.I. Derived Biomarker Algorithms

 

tSNE plot

 

 

 

With EEG features as core inputs to machine learning classifier building methods, distinctive profiles of TBI are identified

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Curious about our FDA cleared algorithms, research, or published papers? 

Current assessments on the BrainScope device

SIC Screen

Structural Injury Classifier (SIC)

A multimodal AI derived algorithm that assesses the likelihood of a brain bleed (≥1mL) a powerful decision support tool in the triage of head injured patients

BFI Screen@2x

Brain Function Index (BFI) textpadding

An EEG based algorithm for the assessment of brain function impairment, obtained from the same EEG recording used to compute the SICcan aid in early clinical diagnosis of concussion and referrals 

CI Screen@2x

Concussion Index (CI)

An objective multimodal AI derived algorithm with EEG at its core—aids in baselining, clinical diagnosis of concussion, and in determination of readiness to return to activity 

 

 

Intersection 4

 
 
Digitized & Neurocognitive Clinical Assessments

Includes assessments commonly used by clinicians to assess head injured patients, including PECARN Decision Rule for pediatrics 

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Interested in collaborating?

Our research team

Led by our Chief Scientific Officer, Leslie S. Prichep, PhD, our vibrant research group has experience beyond traumatic brain injury into neurological conditions such as stroke, Alzheimer's disease, depression, and cognitive decline.

 

 

The BrainScope algorithms were developed by applying advanced A.I./machine learning technology to extensive patient data, including EEG data, symptoms, CT scan and neurological test results. As the database grows, machine learning capabilities can identify additional data patterns, enhancing future technology, advancing the potential clinical application of head injury assessment, and identifying new indications for use, using the neurotechnology platform that has been developed by BrainScope over the past decade.  

Dr. Prichep and her team continue to work on furthering our understanding of brain health.

 

 

 

Science Team

 

Our research partners

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University of Rochester Medical Center

Jeffrey J Bazarian, MD
 
Department of Emergency Medicine Clinical and Translational Research
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Johns Hopkins Medicine

 
Daniel F Hanley, Jr, MD
 
The Johns Hopkins Medical Institutions
Brain Injury Outcomes Division
Texas Tech

Texas Tech University

Edward Michelson, MD FACEP
 
Department of Emergency Medicine, Paul L Foster School of Medicine
Washington U

Washington University

Rosanne Naunheim, MD
 
Barnes Jewish Medical Center
Intended patient population
•  Ages 18 – 85 years for structural brain injury
•  Ages 13 – 85 years for functional brain injury
•  Glasgow Coma Scale (GCS) 13 – 15
•  Within 72 hours of injury, at baseline, and over time
•  Suitable for alcohol/drug impaired & patients on blood thinners
 

Click here for a complete list of indications