AI tools typically use broad patterns and simplified inputs to generate a range. They can be helpful for understanding which categories might matter. However, Johnson City cases often hinge on details that a generic model can’t see:
- Crash and incident conditions: visibility, road conditions, the sequence of events, and whether policies were followed.
- Medical documentation quality: whether neurological findings were recorded promptly and consistently.
- Functional impact: how limitations affect mobility and daily living—not just diagnosis labels.
In other words, two people with “similar” injuries may have very different outcomes based on the medical record and the evidence of what actually happened.


