In and around Canandaigua, it’s common for one issue to involve more than one setting—urgent care, primary care, imaging centers, hospital care, specialists, and rehabilitation. An AI tool usually asks you to describe the injury and recovery in a simplified way. It can’t reliably account for how medical causation is proven when:
- the initial symptoms were treated by one provider, but the condition was diagnosed later by another
- imaging was ordered in one place, read in another, and acted on after a delay
- post-procedure follow-up happened with a different clinician than the one who performed the procedure
In New York, those gaps can make or break how damages are supported. If the record doesn’t clearly show what should have happened sooner—or what should have been done differently—the value range produced by an AI model may not reflect how adjusters evaluate risk.
Bottom line: think of an AI result as a rough conversation starter, not a forecast.


