AI tools usually work from simplified inputs: injury severity, age, treatment type, and a few case factors. In spinal cord injury cases—especially those that happen after commutes, roadway incidents, or worksite activity—the real value depends on details that are hard to capture without a full review of records.
In practice, insurers scrutinize items like:
- Functional limitations (how the injury affects mobility, transfers, and independence)
- Complications that can follow months later (skin breakdown risk, respiratory issues, bowel/bladder complications)
- How long care is expected to last and whether it escalates
- Whether causation is clearly documented from the incident through follow-up testing
An AI estimate can’t verify those facts. It can only reflect the assumptions you enter—and assumptions can be wrong when the medical picture evolves.


