Aunt Minnie (6/20) reports on an artificial intelligence (AI) algorithm that analyzes mammograms and patient clinical information in electronic health records (EHR) can accurately diagnose breast cancer— even in many cases in which cancers are missed by radiologists, according to research published online in Radiology.
Health Imaging (6/19) reports that Computer-aided detection (CAD) can help inexperienced radiologists detect cancers on automated breast (AB) ultrasound (US), particularly in asymptomatic women. Moreover, CAD used in concurrent-reading mode improves the diagnostic performance of both novice and experienced readers, while shortening overall reading times, according to a study published in Radiology.
Aunt Minnie (6/19) reports that MRI finds breast cancer earlier than digital mammography in women with a family history of the disease but without known genetic mutations, according to research published in Lancet Oncology. But the improved detection comes at a risk of more false positives.
Radiology Business (6/19) reports on an algorithm, built using both machine learning (ML) and deep learning (DL), that predicts breast malignancy using a patient's imaging results and detailed health records, according to a recent study from Radiology.
Radiology Today (6/16) reports that the addition of breast MRI to mammography in screening breast cancer survivors for new cancers results in higher cancer detection rates but also more biopsies that are benign, according to a large study published in the journal Radiology.