Internal cross-validation and single-institution train/test splits reported as evidence of performance
Prospective, multi-scanner, multi-vendor external validation with pre-registered thresholds; calibration and decision-curve analysis
External data is costly and often shows performance drop; incentives reward high internal AUC and publication over robustness
This is an educational research resource from Resonant Labs, not clinical advice. Atlas assessments are heuristic, not probabilities or formal GRADE ratings. Findings are summarized from the literature and may change as the field evolves.