An AI-based Mammography Screening Protocol: Outcome and Radiologists Workload
Link to the article Background: Developments in artificial intelligence (AI) systems to assist radiologists in reading screening mammograms could improve
Read moreLink to the article Background: Developments in artificial intelligence (AI) systems to assist radiologists in reading screening mammograms could improve
Read moreRead the full publication Background: Artificial intelligence (AI) has shown promising results for cancer detection in mammographic screening. However, evidence
Read morehttps://pubs.rsna.org/doi/10.1148/radiol.210832 Background: Inclusion of mammographic breast density in breast cancer risk models improves accuracy, but accuracy remains modest. Interval cancer
Read moreAIM AND OBJECTIVE To explore the performance of an artificial intelligence (AI)-system on cancer detection in a population based screening
Read moreObjectives This study evaluated the performance of Transpara to discriminate recalled benign from recalled malignant mammographic screening abnormalities, aiming to
Read moreRadiology 2021 Objectives: The high data volume of digital breast tomosynthesis (DBT) and the lack of agreement regarding its implementation
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