Technical glitch in UK breast screening program may have affected 50,000 more women than previously thought

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Less than a month after British Health Secretary Jeremy Hunt announced that up to 270 women may have died of breast cancer after a technical error neglected to send 450,000 invites for final routine mammograms, one doctor is warning the number of failed invites may have been closer to 500,000, The Independent reports.

Machine learning accurately diagnoses breast lesions identified during cone-beam CT exams

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains the use of artificial intelligence (AI) algorithms to help address health disparities and the rise of healthcare consumerism. Machine Learning

Machine learning techniques perform well when tasked with predicting malignancy in breast lesions identified during breast cone-beam CT (CBCT) exams, according to a new study from German researchers published by the American Journal of Roentgenology. One technique, back propagation neural networks (BPN), outperformed two radiologists.

Clinical decision support benefits radiology trainees, significantly improves appropriateness scores

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Courtesy of the American Medical Association. 

University of Virginia researchers found that radiology trainees benefit the most from a commercially available clinical decision support (CDS) program being implemented into an electronic health record, which overall improves the appropriateness scores of ordered imaging studies significantly.