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Led MASAI, the first randomised trial of AI-supported mammography screening, which found more cancers with half the radiologist workload.
Kristina Lång is principal investigator of MASAI, the Swedish randomised trial of 100,000 women showing that AI-supported screen reading detects 29% more cancers than standard double reading while cutting radiologist workload by 44%, without increasing false positives. She also led the Malmö Breast Tomosynthesis Screening Trial. Her work is the strongest evidence yet for deploying AI in population screening.
Shares Mammography & tomosynthesis, AI in radiology, HR-positive / HER2-negative breast cancer and the tags screening, ai, breast.
Shares MASAI: AI-supported mammography screening finds more cancers with half the radiologist workload, Mammography & tomosynthesis, AI in radiology, HR-positive / HER2-negative breast cancer.
Shares MASAI: AI-supported mammography screening finds more cancers with half the radiologist workload, Mammography & tomosynthesis, AI in radiology, HR-positive / HER2-negative breast cancer.
Shares AI in radiology, HR-positive / HER2-negative breast cancer and the tags screening, ai.
Shares Mammography & tomosynthesis, AI in radiology, HR-positive / HER2-negative breast cancer.
Shares Mammography & tomosynthesis, AI in radiology, HR-positive / HER2-negative breast cancer.
Shares Mammography & tomosynthesis and the tags screening, breast.
Shares Mammography & tomosynthesis, AI in radiology, HR-positive / HER2-negative breast cancer.