Source integrity
Raw public report text, canonical extracts, and claim-provenance anchors are treated as part of the evidence trail rather than optional background.
Project Brief
NDERF AI
AI-assisted medical review infrastructure for near-death experience reports.
Future of Inquiry is collaborating with NDERF.org and Dr. Jeffrey Long to structure selected reports into inspectable medical-review packets. The project is mechanism-neutral: it asks what can be responsibly extracted, sourced, evaluated, and reviewed.
Current Work
A physician-review workflow for difficult reports.
The current pilot focuses on selected Category A reports involving cardiac arrest, resuscitation, or medically extreme contexts. AI helps separate claim extraction, medical context, verification status, ordinary information pathways, and conditional evidential significance before physicians review the interpretation.
Dual-axis analysis
The workflow avoids one all-purpose score. Medical strength, phenomenology, and observational evidence are separated so strengths and weaknesses remain visible.
Clinical review
Reviewers are asked whether the resulting interpretation is clinically defensible, not whether they endorse any survival, afterlife, or metaphysical claim.
Why It Matters
Reports at the edge of medicine need better handling.
Near-death experience reports are often either dismissed too quickly or treated too broadly. FOI's contribution is a more inspectable middle path: preserve the raw source, clarify the medical context, identify ordinary information pathways, and let qualified reviewers assess what is and is not supported.