AI Outperformed Standard Risk Model for Predicting Breast Cancer
Algorithms identify both missed cancers and breast tissue features that help predict future cancers
Algorithms identify both missed cancers and breast tissue features that help predict future cancers
Learn more about RSNA member Suzie Bash, MD, a neuroradiologist and medical director at RadNet
RSNA and GE HealthCare announced their collaboration to provide mammography technology, training and educational tools to radiologists at Muhimbili National Hospital (MNH), part of the…
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Uncover how coronary artery calcium scoring using CT can help identify symptomatic patients with a very low risk of heart attacks or strokes.
Photon-counting CT technique may reduce overestimation of stenosis by reducing adverse effects of calcifications on CT images
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The spark providing critical, early-career support 83 individuals at 47 institutions were funded in the last year. Priscilla J. Slanetz, MD, MPH 2012 RSNA Education…
Artificial intelligence algorithms applied to mammograms do a better job of predicting a woman’s 5-year breast cancer risk than the standard clinical risk model, says…