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Mar 2, 2016
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CT may best conventional measurements for assessing BMD in diabetics
July 30, 2025
MR image from a 55-year-old patient with triple-negative breast cancer from training set. (A, above) Axial postcontrast T1-weighted image from baseline MRI exam shows unifocal enhancing mass (unifocality: positive). (B, below) Axial postcontrast T1-weighted image from MRI examination per-formed after one cycle of neoadjuvant chemoimmunotherapy shows >37% reduction in lesion size (early tumor shrinkage: positive) and development of non-enhancing region within lesion (percentage enhancement reduction: positive).
MRI-based model predicts treatment response in breast cancer patients
July 30, 2025
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July 30, 2025
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AI spots breast lesions on targeted ultrasound
July 30, 2025
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CT may best conventional measurements for assessing BMD in diabetics
By Kate Madden Yee
CT may offer a better picture of fracture risk than conventional bone mineral density (BMD) measurements in people with diabetes.
July 30, 2025
Back Spine Skeleton
MRI-based model predicts treatment response in breast cancer patients
By Amerigo Allegretto
An MRI-based model performed well in predicting pathologic complete response in women with triple-negative breast cancer.
July 30, 2025
MR image from a 55-year-old patient with triple-negative breast cancer from training set. (A, above) Axial postcontrast T1-weighted image from baseline MRI exam shows unifocal enhancing mass (unifocality: positive). (B, below) Axial postcontrast T1-weighted image from MRI examination per-formed after one cycle of neoadjuvant chemoimmunotherapy shows >37% reduction in lesion size (early tumor shrinkage: positive) and development of non-enhancing region within lesion (percentage enhancement reduction: positive).
Data transparency is lacking for FDA-cleared Alzheimer's AI technology
By Liz Carey
Lack of transparency raises concerns about algorithmic bias impacting care planning for patients with Alzheimer's disease.
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AI spots breast lesions on targeted ultrasound
By Amerigo Allegretto
Combining AI with radiologist interpretation can improve breast lesion detection on targeted ultrasound.
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Concordance between biopsy and surgical grade groups was moderate (60.2%), with a risk of undergrading, researchers reported.
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Adverse reaction rates to GBCAs are low in children
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The review suggests gadolinium-based contrast agents (GBCAs) are relatively safe for children.
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Informatics leaders propose AI model integration framework
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An editorial calls for a clearly defined division of labor between AI systems and radiologists.
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AI reduces false-negative rates on screening DBT
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An AI algorithm spotted about one-third of interval cancers on screening DBT exams, cutting down false-negative rates.
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Visual reads of amyloid PET scans effective in real-world settings
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The findings support the use of amyloid PET scans as acquired and visually read in the real world.
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MRI reveals effects of ultraprocessed food on the heart
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MRI shows that a higher intake of ultraprocessed food is associated with a greater burden of atherosclerotic plaque in the carotid artery.
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ASRT survey shows vacancy rates still high among imaging departments
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A new ASRT survey found that vacancy rates are still high among imaging departments, though some specialties show slight decreases.
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Can eye gaze data from radiologists make AI more human?
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Researcher Jeremy Wolfe, MD, discusses an emerging trend of integrating eye gaze data from radiologists into AI algorithms.
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