Open-Sourcing a Multi-Agent Adversarial AI Pipeline for Medical Data Analysis
JWojoMojo · reddit · 2026-08-07
Content creator Drift0r made his medical records public for internet assistance. With permission, developers built an open research portfolio using multiple frontier AI models.
Core Methodology
- Independent Analysis: Claude Opus 5, Codex (GPT 5.6 Sol), and Grok 4.5 analyzed the records independently without seeing each other's conclusions.
- Adversarial Critique: Models were tasked with attacking emerging hypotheses to find overclaims, missing evidence, and weak citations.
- Null Baseline: A null/independent baseline (H-NULL) was forced to prevent defaulting to a single "rare unifier" explanation.
Strict Limitations
The project explicitly rules that AI cannot diagnose or prescribe, and multi-model agreement does not equal clinical validation. The system is designed strictly for organizing information, proposing hypotheses, and flagging contradictions for licensed clinicians to verify.
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