TBI and AI

 

If it seems like AI is everywhere these days, that's because its use has become so widespread.  AI’s reach in the TBI realm is no less extensive: hence the length of this post.

Assessment time immediately following the injury is critical. When a patient is admitted with a potential TBI, AI can automatically classify the injury severity and flag abnormalities on CT scans within seconds in the emergency room. This results in reducing the number of missed bleeds. AI has been shown to catch subtle findings radiologists may miss looking at CT or MRIs, especially under pressure.

AI can analyze:

        A. Eye movement tracking, speech pattern changes, and identify whether a brain injury has                     occurred even when CT scans are normal (common in mild TBI).

        B. AI can be used in predicting outcomes:

        C. Machine-learning models use demographics injury and imaging results to predict potential                 outcomes

 

AI cognitive tests administered early can be used to predict:

        A. ICU needs

        B. Risk of complications

        C. The likelihood of long-term disability as this helps clinicians personalize care

 

AI in Rehabilitation:

        A. Cognitive Rehabilitation

        B. I've posted before about memory strategies. But AI powered tools can deliver adaptive                         exercises that adjust difficulty in real time: memory training attention, focus exercises, executive-        function coaching, and processing-speed practice. These are all used in apps and web-based neuro-        rehab platforms.

        C. Speech and Language Therapy AI speech models can: Analyze articulation Track progress in             real time and provide immediate feedback Help with aphasia or slowed verbal processing.

Sometimes TBIs impact speech. Patients practice conversational skills using AI avatars.

Physical + Motor Rehab AI is used in motion-capture therapy, where cameras track gait or limb movement and give feedback to robotic exoskeletons guided by AI algorithms that adapt to the patient’s progress predicting fall risk or muscle compensation patterns.

As someone who is sometimes prone to being skeptical of the value of new technology, I would be hard pressed to disagree that AI didn’t offer tremendous value in both diagnosis and treatment of TBI.