AI-based tools are usually designed to produce a range using general injury categories and a few questions you answer. In American Canyon, the challenge is that the facts behind spinal cord injuries often involve details that a calculator can’t see—like the exact mechanics of a collision, the condition of the roadway or vehicle safety systems, and how quickly neurological symptoms were documented.
A typical AI input might ask for injury severity, age, or “future care needs.” But in real cases, the value hinges on evidence such as:
- Documented neuro findings (what clinicians observed and recorded)
- Consistency between the incident and the medical timeline
- Functional limitations described by providers (mobility, transfers, bladder/bowel management)
- Whether complications emerged that change long-term care needs
When those pieces are missing—or when symptom timing is unclear—AI outputs can swing high or low.


