Readyology Learning Hub
Learning from disagreement, not assigning blame.
Subtle asymmetry in dense breast
Explore how prior comparison, AI confidence, and human thresholding shaped the arbitration outcome in a no-blame reflective format.
AI confidence 87%
Cases
Browse anonymised disagreement cases by type, clinical feature, and learning time.
Learn
Work through decision prompts, human factor tags, and reflective reasoning.
CPD
Collect exportable records, estimated credits, reflections, and impact notes.
Team
Prepare REALM packs, shared themes, discussion prompts, and department insights.
Cases
Anonymised arbitration and disagreement cases curated as learning objects, not spreadsheet rows.
Subtle asymmetry in dense breast
Reader 1: No recall. AI: Recall suggested. Arbitrator: Recall.
High-confidence AI overcall
Reader 1: No recall. AI: Recall suggested. Arbitrator: No recall.
Junior-senior recall threshold disagreement
Reader 1: Recall. Reader 2: No recall. Arbitrator: Recall.
Subtle asymmetry in dense breast
AI-Human disagreement, detection disagreement, 8 min, CPD-compatible.
Reflective case learning and CPD-compatible evidence
Estimated credit, exportable records, and reflective impact notes. Subject to local CPD approval.
Monthly estimated CPD-compatible progress
Target pace around 50 credits / year
REALM chair and department workspace
Anonymised themes, selected cases, and team-level insights only. No individual ranking.
Prior comparison in dense breast arbitration
A curated pack for reflective team discussion, focused on calibration and shared reasoning rather than individual performance.