AI tools often produce a range based on generalized patterns—diagnosis labels, treatment categories, or typical injury outcomes. But in a real claim, adjusters focus on the details that a generic model can’t see:
- How quickly symptoms were documented after the incident (New York insurers pay close attention to the timeline).
- Whether your medical provider linked the head injury to the event with consistent notes and objective findings.
- Whether your activities changed in ways that match the injury narrative (work limits, concentration problems, driving restrictions, daily functioning).
- Whether the other side’s version of events holds up—especially in crashes where impact dynamics can be disputed.
In Suffern, where many residents commute to jobs in the region and return to work quickly after an accident, there’s a common problem: people try to “push through” symptoms. If documentation doesn’t keep up with the real functional impact, the insurer may argue the injury is less severe or unrelated.


