Ai-based decision-support system

Ai-based decision-support system increases diagnostic specificity in silico (83.6% versus 91.1%).

“specificity rose from 83.6% (95% CI: 82.0-85.3) to 91.1% (95% CI: 89.8-92.4) (p < 0.001).”

In silicoAI-assisted versus unaided mammography interpretationbreast

Optimizing AI-assisted decision-making in mammography screening: focusing on uncertainties

Insights into imaging·13 Oct 2026

Ai-based decision-support system increases diagnostic sensitivity in silico (54.8% versus 83.9%).

“Sensitivity increased from 54.8% (95% CI: 48.6-61.0) to 83.9% (95% CI: 79.3-88.4) (p < 0.001)”

In silicoAI-assisted versus unaided mammography interpretationbreast

Optimizing AI-assisted decision-making in mammography screening: focusing on uncertainties

Insights into imaging·13 Oct 2026

Ai-based decision-support system increases diagnostic AUC in silico (83.04% unaided versus 88.40% in the union scenario).

“AUC improved from 83.04% (95% CI: 79.8-86.3) unaided to 88.40% (95% CI: 85.6-91.2) in the union scenario (p < 0.001).”

In silicoUnion of radiologist and AI decisions in uncertain cases versus unaided interpretationbreast

Optimizing AI-assisted decision-making in mammography screening: focusing on uncertainties

Insights into imaging·13 Oct 2026