MRI Vision Core AMD: Evidence Review

MRI Vision Core AMD is a research and demo workflow for inspectable knee-MRI analysis. A bridged trained Attention-MIL checkpoint processes an available MRI study and produces twelve raw, uncalibrated research-model scores with provenance. Those scores are placed into a structured EvidenceBundle. The deterministic review sequence then runs Specialist, Critic, and Consensus stages. Specialist groups existing scores without changing them; Critic checks evidence structure, provenance, quality state, and other review conditions; Consensus sets the workflow status. Every case remains pending named human review, where a reviewer can approve, request more evidence, or escalate. An optional explanation layer supports AMD Token Factory, Groq, or a local deterministic provider. It receives allowlisted review evidence and returns four reviewer-facing summaries. It is advisory only: it cannot change model scores, deterministic workflow status, or human approval. The project includes a reproducible 22-study benchmark: 22 of 22 successful inference runs, 100 percent coverage, zero failures, macro ROC-AUC 0.599, macro PR-AUC 0.485, and mean latency 0.987 seconds. These are research results against competition reference labels, not clinical validation or diagnostic claims.