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.
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.
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.
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.
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.
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.



Dr. Cirelle Rosenblatt has practiced neuropsychology for 25+years, training in leading U.S. Rehabilitation Medicine hospitals before founding Advance Concussion Clinic, Inc - British Columbia’s first and only dedicated concussion clinic - in 2013. She has consulted Olympic athletes, the National Lacrosse League, and other professional and competitive athletes. ConcussionRx represents her vision to leverage data science, machine learning, and AI as a solution to the international concussion crisis.
Peer reviewed in Frontiers in Human Neuroscience.