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AI Performs Comparably to Human Readers of Mammograms

Imaging Technology

milla1cf Tue, 09/05/2023 - 09:00 September 5, 2023 — Using a standardized assessment, researchers in the UK compared the performance of a commercially available artificial intelligence (AI) algorithm with human readers of screening mammograms. For each test mammogram, the reader’s score is compared to the ground truth of the AI results.

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AI's impact on false-positive mammograms, breast cancer screening performance

AuntMinnie

million mammograms were performed in the U.S. Although mammogram is the most widely used screening modality, a known problem is that 9.5% Starting with mammography images, the work is important for finding ways to alleviate the region's radiologist workforce shortage and staffing pressures, according to Imperial College London.

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Curved breast compression paddle lessens pain but also image quality

AuntMinnie

Curve-shaped breast compression paddles may lead to some pain relief, but they also reduce image quality on mammograms, suggest findings published August 20 in Radiology. Two radiographers and two radiologists performed unblinded paired comparisons of images from both paddle types, using standard image quality criteria.

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Lunit to highlight AI-based studies at RSNA

AuntMinnie

Topics include the following: Lunit's AI model combines new and existing AI algorithms to filter normal chest radiographs from the radiology workload An exploration of the accuracy and robustness of Lunit's Insight MMG compared with radiologist readers Lunit's AI model tracks mammographic parenchymal patterns as predictive markers for breast cancer (..)

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7 ways to reduce healthcare disparities in radiology

AuntMinnie

Healthcare disparities continue to plague medical imaging, but there are concrete measures radiologists can take to mitigate them, according to a paper published on October 12 in RadioGraphics. B) A craniocaudal magnified mammogram more clearly shows the irregular mass and pleomorphic calcifications in the medial breast. (C)

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Deep Learning Model Estimates Cancer Risk from Breast Density

Imaging Technology

While various methods are available to estimate this measure, studies have shown that subjective assessments conducted by radiologists based on visual analogue scales are more accurate than any other method. This, in turn, can enable improved performance in tasks such as cancer risk prediction or image segmentation.

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Overcoming Callback Anxiety: Tips for Staying Calm and Confident

Mammography Educators

You introduce yourself as you are walking to the mammo room when the they say, "I heard that the girl who did my mammogram before ( and I think it was you!) , messed up my pictures, so I had to come back." this is actually quite a normal response, even for those of us who are radiographers/mammographers. She is not happy. By the way.