Human Expert Baseline (RadLE 2.0)
RadLE Authors
Pooled human comparator reported by the RadLE 2.0 authors from 12 board-certified radiologists and radiology trainees who completed the same 200-case single-image spot-diagnosis evaluation as the AI systems.