Many AI tools are built to approximate outcomes using general patterns—injury category, severity level, age, and a few user inputs. That can be useful for orientation, but it usually misses the details that matter most in real disputes.
After a spinal cord injury, valuation often hinges on specifics like:
- Neurological function over time (not just the initial diagnosis)
- Complications that develop after discharge (e.g., skin breakdown risk, respiratory issues, mobility decline)
- Whether doctors can document a trajectory toward improvement, stability, or deterioration
- What functional limitations mean for daily life (transfers, bowel/bladder management, standing tolerance, caregiver needs)
In other words: an AI output can’t review your imaging, therapy notes, or life-care recommendations. In Indiana, insurers and defense counsel will focus on what can be proven—not what a model guesses.


