Many AI tools generate a range based on inputs like diagnosis type, treatment length, and symptom descriptions. The problem is that real TBI negotiations hinge on proof, not just diagnosis labels.
After a crash in Margate, insurers commonly scrutinize:
- Whether the injury was documented early (ER visit notes, concussion or head-injury evaluation)
- Whether follow-up care was consistent (neurology, concussion clinic, therapy)
- Whether symptoms match the timeline (what you reported immediately vs. what later emerged)
- Whether other conditions could explain symptoms (migraines, stress, prior head trauma)
AI can’t reliably judge the quality of medical records, interpret conflicting histories, or predict how a defense attorney will attack causation. Treat the AI output as a checklist—not as a settlement promise.


