Artificial intelligence may help radiologists identify subtle signs of breast cancers that are missed during routine mammograms, and some AI systems may even identify patterns associated with an increased risk of cancer before ...
Sep 4, 2026
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A new PET/MRI technique that targets fibroblast activation protein (FAP) overexpressed in endometriosis is more effective at identifying lesions than conventional imaging. According to new research published in The Journal ...
Sep 3, 2026
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The recent flood of artificial intelligence (AI) models and content has undoubtedly introduced an unwelcome flaw from the human-made content it scrapes: bias. AI has been shown to form, copy and amplify harmful stereotypes ...
Sep 2, 2026
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When the brain is stimulated, blood flow increases. For 30 years, functional magnetic resonance imaging (fMRI), one of the most powerful windows into the human brain, has operated on the basis of this connection. fMRI doesn't ...
Sep 1, 2026
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Demand for medical imaging in the U.S. keeps rising, but the number of radiologists available to read those images has barely budged relative to the population, according to a study published in the Journal of the American ...
Sep 1, 2026
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More than 40% of American women ages 40 and older have dense breast tissue, according to the National Cancer Institute. This type of tissue can make cancer harder to spot on mammograms and is itself associated with a higher ...
Aug 31, 2026
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Coronary CT angiography (CTCA) scans do not reduce the risk of heart attacks or cardiac death over three years in patients with acute chest pain whose heart attacks have been excluded, according to the results of a trial ...
Aug 29, 2026
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A newly developed radiotheranostic pair, 68Ga/177Lu-NYM096, can identify tumors and effectively deliver targeted radiotherapy to patients with metastatic clear cell renal cell carcinoma (ccRCC). Using a small-molecule compound, ...
Aug 29, 2026
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Artificial intelligence (AI) analysis of mammograms could be used to detect different common cardiovascular diseases (CVDs), according to a study presented at the ESC Congress 2026.
Aug 27, 2026
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Mass General Brigham Neuroscience Institute researchers have found that a pattern of brain atrophy visible on MRI could help predict how quickly people with early-onset Alzheimer's disease progress from mild cognitive impairment ...
Aug 26, 2026
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