AI as a governed component,
not a black box
NerveDX treats AI as one component of a regulated clinical workflow. That means provenance, calibration, validation and governance are engineering commitments — not afterthoughts.
Model-Agnostic
Validated models slot into the triage layer. The platform knows which model produced an output, under which configuration and for which intended use.
Provenance
Every AI result is traceable: model identity, version, preprocessing, threshold and confidence — so findings can always be interrogated and audited.
Confidence & Calibration
A meaningful confidence estimate is not the same as a calibrated one. NerveDX validates whether probability estimates accurately reflect uncertainty for clinical use.
Validation & Governance
Intended use, patient population, montage and channel configuration matter. A future model registry associates each model version with exactly what it was validated for.
Distributed Data
Hospitals may be unable to pool raw medical EEG centrally. The architecture is designed to respect institutional data-sharing constraints while still sharing validated insight.
Human in the Loop
Clinical judgment remains decisive. AI augments attention; expert verification, correction and sign-off are explicit, documented workflow stages.
Every model version, fully described
A governed model registry records what each algorithm was validated against, so a flagged EEG segment can always be understood in context:
- Model identity and semantic version
- Validated patient population and setting
- EEG montage and channel configuration
- Preprocessing, thresholds and intended use
- Documented limitations and performance evidence
Calibration is a research problem we take seriously
Academic work in EEG seizure detection has examined whether neural-network confidence is well calibrated. NerveDX builds that discipline into its clinical AI-governance layer.
Security and tenant architecture as core concerns
Enterprise infrastructure is a first-class product requirement for a regulated clinical platform.
| Area | How NerveDX approaches it |
|---|---|
| Tenant isolation | Multi-tenant architecture designed so institutional data remains separated and protected. |
| Privacy | GDPR-oriented data protection with responsible handling of sensitive, identifiable EEG data. |
| Quality management | ISO 13485-aligned QMS thinking applied to software development and lifecycle. |
| Regulatory path | FDA-aligned and EU MDR-aware development strategy from the outset. |
| Auditability | Persistent audit trail covering review, annotation, model outputs and sign-off. |
From model output to clinical confidence
The technology roadmap is organised around evidence that can support safe adoption: intended use, population fit, calibration, monitoring and human review.
Define intended use
Specify workflow role, users, settings, EEG types and model limitations.
Validate performance
Measure outputs against curated datasets and clinically reviewed references.
Calibrate confidence
Test whether confidence values map to real uncertainty in the target workflow.
Monitor in use
Track drift, corrections, overrides and reviewer behaviour during deployment.
Want the technical deep-dive?
We can share architecture and governance details under an appropriate agreement.