An AI tool may produce a range based on assumptions like diagnosis severity, treatment length, or symptom categories. But in real Connecticut injury claims, insurers evaluate whether the medical record supports:
- When symptoms started
- How consistently they were reported
- Whether treatment was reasonable and timely
- Causation (that the accident—not something else—drove the neurological issues)
In Meriden, many TBIs arise from everyday risk situations—commuting on busy corridors, navigating winter sidewalks, or working around industrial equipment. Those scenarios often generate disputes that an AI model can’t fully predict, such as gaps in documentation, disagreements over the mechanism of injury, or claims that symptoms are unrelated.
Bottom line: treat AI output as a starting point for questions to answer, not a substitute for a case strategy.


