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.
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.
Is the Kaiser Score More Effective than BI-RADS for Assessing Contrast-Enhanced Mammography and MRI?
October 14th 2024For women with breast-enhanced masses, Kaiser scoring (KS) demonstrated a 20 percent higher AUC than BI-RADS classification for contrast-enhanced mammography (CEM) and was comparable to KS for breast MRI.
FDA Clears New Features in AI-Powered Mammography Software Suite
October 11th 2024Therapixel’s MammoScreen suite has received 510(k) FDA clearances for a breast density assessment feature and updated software that includes automated pre-reporting, which reportedly expedites reporting of mammography findings.