# Rapid, accurate, clinical decision support Advanced digital signal processing of brain electrical activity data at the core of FDA cleared AI, machine learning derived algorithms, empower clinicians to rule out likelihood of intracranial hemorrhage & objectively assess for concussion How BrainScope Works : Use of EEG based brain biomarkers to assess head injured patients and assist clinicians in their diagnosis ## Exceptionally well validated 12 years of development funded in part by 8 Department of Defense studies and 2 GE/NFL Head Challenge grants ## Sensitivity well above that of commonly used diagnostic tools for other medical conditions #### BrainScope Structural Injury Classifier (SIC) was demonstrated to objectively identify the likelihood of an intracranial hemorrhage with 99% sensitivity to even the smallest amount of detectable blood (≥1 mL). ## Here's what makes it work ### Hardware The handheld medical device acquires  brain electrical activity data recorded from the proprietary 8-electrode disposable headset Learn More ### Brain Electrical Activity  Database Advanced signal processing captures changes in brain activity distinctive of TBI including measures that reflect disruption in neuronal transmission between brain regions (connectivity), disorganization of neural networks & changes in neurotransmitters Learn More ### AI Derived Biomarker Algorithms With brain electrical activity features as core inputs to machine learning classifier building methods, distinctive profiles of TBI are identified Learn More ## BrainScope IP & Patents BrainScope has been issued 90 patents with global coverage for its algorithms, headset, and device! Curious about our FDA cleared algorithms, research, or published papers? [**Learn more**](https://www.brainscope.com/cs/c/?cta_guid=28d4f940-7484-4aaa-9cb3-c37eeddfdba3&signature=AAH58kEK-HHx2H_i8MFEJgjEE08aCntMsA&portal_id=7520044&pageId=41140663004&placement_guid=3d3b96ff-77bc-4f73-b42b-fb1fb34281c6&click=fb2c4371-88c3-4e50-b869-05b76b922af9&redirect_url=APefjpEfyuNfrAesvSlSAC-p6CT6OSg_DIKKf3iVY_47KEJHOQwXCbGMI7jZwQxTAM6bh8vnrEnKXaXK7kM76ovsH6R0EdqnpxoRKQMh64avhpVyX1X8OUfDo9y-Db2pPku11M--Hl1yLoYp9ir2LBO4-RFtXrfzwK5hPqPAcIv2Do9f6Gi17bM&hsutk=&canon=https%3A%2F%2Fwww.brainscope.com%2Fsciencetechnology&ts=1777146974490 "Learn more") ## Current assessment on the BrainScope device BrainScope’s technology records **brain electrical activity** in a conventional way. Incorporating **advanced signal processing**, the data is then quantified as inputs to derive machine learning algorithms. The three **FDA cleared, AI derived** algorithms produce easy to read, actionable results.* *_(No neurologist or electroencephalographer required)_ ###### Structural Injury Classifier (SIC) A multimodal AI derived algorithm that indicates the likelihood of **being negative for brain bleed on a CT scan** and identifies the need for further evaluation Learn More ###### Brain Function Index (BFI) A brain electrical activity based algorithm for the assessment of brain function impairment, obtained from the same recording used to compute the SIC—can aid in early clinical diagnosis of concussion and referrals Learn More ###### Concussion Index (CI) An objective multimodal AI derived algorithm with brain electrical activity at its core—aids in clinical diagnosis of concussion Learn More ###### Digitized & Neurocognitive Clinical Assessments Includes assessments commonly used by clinicians to assess head injured patients, including PECARN Decision Rule for pediatrics Learn More ## 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 AI/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. ## Our research partners #### University of Rochester Medical Center Jeffrey J Bazarian, MD Department of Emergency Medicine Clinical and Translational Research #### Johns Hopkins Medicine Daniel F Hanley, Jr, MD The Johns Hopkins Medical Institutions Brain Injury Outcomes Division #### Texas Tech University Edward Michelson, MD FACEP Department of Emergency Medicine, Paul L Foster School of Medicine #### Washington University Rosanne Naunheim, MD Barnes Jewish Medical Center ## Intended patient population ### Structural Injury Classifier & Brain Function Index •  Ages 18 – 85 years, GCS 13 – 15 •  Within 72 hours of injury ### Concussion Index •  Ages 13 – 25 years, GCS 15 •  Within 72 hours of injury [Click here](https://www.brainscope.com/new/alpha-indications-for-use-ifus "/new/alpha-indications-for-use-ifus") for a complete list of indications