Can AI Diagnose a Concussion? What Machine Learning Is Actually Doing in Brain Injury Assessment

Artificial intelligence and machine learning are increasingly being applied to concussion detection, management, and outcome prediction. The headlines are exciting. The reality is more nuanced — but genuinely promising.

What AI is actually doing today

Several research groups are using machine learning algorithms to integrate multi-domain assessment data — cognitive test scores, balance metrics, eye tracking measurements, symptom reports, and demographic variables — into composite risk scores that outperform any individual test. Research published in Frontiers in Neurology and the British Journal of Sports Medicine has demonstrated that machine learning classifiers can identify concussed athletes with accuracy exceeding that of any single clinical tool.

The BioVRSea project (based in Iceland, published in Scientific Reports by Nature) combines virtual reality environments, EEG brain wave measurement, EMG muscle activity sensing, and force plate balance data with machine learning algorithms to classify concussion status. Researchers are also proposing AI-driven integration of eye tracking data with SCAT6 components to create automated, objective composite scoring systems that reduce the subjectivity inherent in current clinical assessments.

In the NFL, AI and computer vision systems analyze game footage to automatically identify potentially concussive impacts — flagging plays for medical review that human spotters might miss in real-time viewing. This application is already in operational use, as reported in the NFL’s Engineering and Safety publications.

What AI cannot do yet

Independently diagnose a concussion. Concussion remains a clinical diagnosis made by a qualified healthcare professional based on the totality of evidence — history, symptoms, physical examination, and objective testing. No AI system has been validated or approved for autonomous concussion diagnosis. AI tools assist the clinical process by processing data more efficiently, identifying patterns humans might miss, and flagging cases that warrant further evaluation.

How we think about AI

At Headquarters, we believe AI will increasingly enhance baseline testing and concussion management. We’re evaluating AI-assisted tools as they achieve independent validation and regulatory clearance, and we’ll integrate them where the evidence demonstrates clear clinical benefit. For the broader tech landscape, see our 7-technology overview.

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