AI tools typically generate a range using factors you enter—injury severity, age, and care needs, for example. That can feel helpful, but spinal cord injuries are unusually sensitive to details.
In real Schererville cases, small evidence gaps can cause big valuation swings because insurers challenge:
- The exact cause of the neurological injury (timing, mechanics of the crash, symptom progression)
- Whether the condition is complete vs. incomplete and how that’s measured
- Future needs (durable medical equipment, therapy cadence, home safety modifications)
- Functional limits that affect work capacity and daily living
If the calculator doesn’t have your imaging results, neurological testing, or a clinician-supported life-care plan, the output is more like a forecast built on assumptions—not a prediction grounded in your medical reality.


