The claim conflates AUC/AUROC scores (~0.93) with "accuracy," which are different metrics. The best available meta-analytic evidence reports pooled AI sensitivity of 0.85 and AUC of 0.89 — not 94%. Critically, 2025 RSNA studies show AI misses approximately 14% of cancers, with false negatives concentrated in smaller, early-stage tumors in dense breasts — the very cases the claim highlights. While AI can match or modestly exceed average radiologists in some contexts, the specific "~94% accuracy for early-stage detection" framing significantly overstates the evidence.