Reading Breast Cancer with AI– category –
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Reading Breast Cancer with AI
What Multimodal AI Beating Oncotype DX Reveals: 3 Structural Shifts in HR+/HER2- Recurrence Decisions (C-index 0.733 vs 0.631) | Reading Breast Cancer Diagnosis with AI, Vol.3
At SABCS 2025, multimodal AI (ICM+ model) outperforms Oncotype DX for 15-year recurrence prediction (C-index 0.733 vs 0.631). Final volume of our series. -
Reading Breast Cancer with AI
Reading the AITIC Trial: Where Partially Autonomous AI Triage Heads After a 63% Workload Cut and 14.8% Recall Rise | Reading Breast Cancer Diagnosis with AI, Vol.2
Spain's AITIC trial (Nature Medicine 2026, n=31,301): partially autonomous AI workflow cuts radiologist workload 63.6%, lifts detection 15.2%. Vol. 2. -
Reading Breast Cancer with AI
What MASAI Reveals: 12% Fewer Interval Cancers and 4 Tensions Reshaping AI Mammography | Reading Breast Cancer Diagnosis with AI, Vol.1
Sweden's MASAI trial (Lancet 2026, n>105,000) shows AI mammography cuts interval cancers by 12% and lifts sensitivity to 80.5%. Vol. 1 of our series.
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