20 years of concussion speciality, rolled into one AI.

Pre-trained using data from over 2,500 successfully treated patients and interdisciplinary teams including Neuropsychologists, Occupational Therapists, Physical Therapists, Kinesiologists, Counselors, Behavioural Optometrists, Pain Specialists, and more.

Why ConcussionRx was created

Typically, concussion assessment involves multiple disciplines and fragmented workflows that many patients and organizations struggle to access consistently. Even then, assessment approaches are not always standardized, limiting clarity and continuity.

ConcussionRx was created to support concussion and baseline brain health assessment by making interdisciplinary clinical frameworks more accessible, consistent, and scalable through AI-assisted decision support.

About ConcussionRx's AI model

Based on 20+ Years of Experience

ConcussionRx was built by a team of software engineers and concussion specialists with over two decades of experience in concussion assessment and interdisciplinary clinical practice, including leadership roles at specialized concussion clinics.

Peer-reviewed Accuracy (Frontiers)

ConcussionRx’s underlying models and analytical approach are described in a peer-reviewed and published research paper on Frontiers of Neuroscience. The platform applies these models to support structured interpretation of assessment data and longitudinal comparison within a clinical decision support context.

Pre-trained Using Interdisciplinary Data

ConcussionRx was pre-trained using data from over 2,500 successfully treated concussions using an interdisciplinary approach, with all data parsed through deep learning algorithms and iterated to support consistency, interpretability, and clinical relevance.

The concussion complexity framework

Traditionally, concussions are described using broad symptom groupings or areas of disruption, such as cognitive, vestibular, oculomotor, or exertional domains. While useful, these groupings may not fully capture the variability seen across individuals.

ConcussionRx applies AI models trained on interdisciplinary data to help contextualize concussion complexity along a spectrum, supporting clinicians in interpreting assessment patterns across multiple variables without replacing clinical judgment.

Meet the ConcussionRx leadership team

Dr. Cirelle K. Rosenblatt, RPsych

CEO

Specialist in concussion. 20+ years in Rehabilitation Neuropsychology. Founder and Director of Advance Concussion Ciinic, Inc., Vancouver and Surrey, BC

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Michael Cole

Co-founder

20+ years in software and technology. Founder/CEO of Fit Brains (20+ million users)

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Dr. Aliya Babul

CTO

7+ years experience working in python and developing AI/machine learning algorithms. Venture partner at Global Millennial Capital.

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It takes just a few clicks to access AI-powered clinical decision support for concussion assessment.

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