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Featured Search - The Value of Experience in Breast Cancer Diagnosis
Radiologists at Cambridge University Hospital found that more experienced radiologists are far better at detecting breast malignancy.
Top news from a Jan. 19 featured radiology search on SearchMedica: mammography
Measuring the accuracy of diagnostic imaging in symptomatic breast patients: team and individual performanceBritish Journal of Radiology | Jan 11, 2011 (Free abstract. Full text: $15)
Radiologists at Cambridge University Hospital have taken a close look at the accuracy of breast cancer diagnosis by mammography and ultrasound in their institution. Not surprisingly, they find that more experienced radiologists are far better at detecting breast malignancy. But they also reach conclusions about how to improve the performance of less experienced colleagues while assuring the best results for patients.
Mammography Study Suggests DBT-Based AI May Help Reduce Disparities with Breast Cancer Screening
December 13th 2024New research suggests that AI-powered assessment of digital breast tomosynthesis (DBT) for short-term breast cancer risk may help address racial disparities with detection and shortcomings of traditional mammography in women with dense breasts.
FDA Clears Updated AI Platform for Digital Breast Tomosynthesis
November 12th 2024Employing advanced deep learning convolutional neural networks, ProFound Detection Version 4.0 reportedly offers a 50 percent improvement in detecting cancer in dense breasts in comparison to the previous version of the software.
