AI calculators often use broad patterns: injury type, symptom categories, and generic assumptions about treatment. The problem is that TBI outcomes are highly dependent on documentation quality—and documentation is where Chesterfield cases often diverge.
For example, after a St. Louis-area collision, injured people may initially focus on pain and bruising, while concussion symptoms like headaches, dizziness, sleep disruption, or memory issues develop later. If medical care isn’t sought promptly (or if follow-up is inconsistent), insurers may argue symptoms are unrelated or exaggerated.
In other words: the “model” can’t reliably capture the local details that shape value—your timeline, the consistency of your treatment, and how clearly your symptoms are tied to the incident.


