INDUSTRY
Healthcare & Medical Imaging
A missed detection isn't just a number. It's a person who trusted the system. When imaging sensors degrade, when models extrapolate beyond reliable data, when confidence drops — patients are at risk. And the worst failure is the one that looks confident but is wrong.
THE PROBLEM
When Diagnosis Goes Wrong Silently
- ▸AI-assisted diagnosis is only as good as the data feeding it — degraded imaging sensors produce confident but wrong outputs
- ▸Models extrapolate beyond reliable data and present uncertain findings as fact
- ▸No warning when input quality drops below safe diagnostic thresholds
- ▸Incident investigations lack clear records of what the system perceived and when confidence was compromised
WHAT WE OFFER
Verified AI-Assisted Diagnosis
- ▸GapGuard — sensor sanity checks for imaging equipment, detecting degradation before it causes misdiagnosis
- ▸Safety Gateway — confidence-governed model promotion that blocks diagnosis when input quality is below threshold
- ▸ProofCarry — tamper-proof audit trail for every AI-assisted diagnosis, from sensor input to clinical output
- ▸Confidence-gap detection — alerts when model confidence exceeds the quality of its inputs
Healthcare Metrics
HOW IT WORKS
From Sensor to Diagnosis — Verified
GapGuard continuously monitors imaging sensor quality, detecting degradation patterns before they produce unreliable readings. Safety Gateway evaluates model confidence against input quality — when the gap is too large, the system gates the output and flags for human review. ProofCarry records every decision, every confidence score, and every quality check in a tamper-proof chain that satisfies clinical audit requirements.