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Nov 29, 2016
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AI predicts osteoporosis from lumbar spine x-rays
January 9, 2026
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What effect will AI have on the radiologist workforce?
January 9, 2026
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Physicians make more reliable TikToks about breast cancer screening
January 9, 2026
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Key neurologic imaging patterns of recreational drug use in the ED
January 9, 2026
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More in Home
AI predicts osteoporosis from lumbar spine x-rays
By Will Morton
The model could provide screening opportunities for patients in various medical settings.
January 9, 2026
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What effect will AI have on the radiologist workforce?
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An analysis shows that AI will likely cause up to a 33% reduction in the need for radiologists over the next five years.
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Physicians make more reliable TikToks about breast cancer screening
By Amerigo Allegretto
While the overall quality of breast cancer screening info on TikTok varies, physician-created videos are more reliable.
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Key neurologic imaging patterns of recreational drug use in the ED
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Identifying neurologic signs of drug use in emergency department (ED) patients is an important way radiologists contribute to care.
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Theranostic pair ready for testing in lung cancer
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Gallium-68 (Ga-68) SSO120 PET/CT successfully visualized lesions in patients during and after chemotherapy.
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The bill reduces Medicaid funding and could "disproportionately impact young and socially vulnerable enrollees," researchers wrote.
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The finding underscores the algorithm's potential for imaging severely ill patients with portable CT.
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Lobular breast histology not strong predictor of SLNB positivity
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Lobular histology is not a strong predictor of sentinel lymph node biopsy (SLNB) positivity in early-stage breast cancer cases.
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Algorithm demonstrates prediction accuracy for lung cancer risk
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Using lung cancer risk-prediction models at the screening stage helps identify high-risk individuals.
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Clinical protocols help drive appropriate cervical spine CT use
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With the increased availability of cervical spine CT, it is essential to improve imaging decisions.
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Lung cancer screening reporting reveals incidental finding risk classes
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Researchers tracked seven prespecified "S modifiers," or clinically significant incidental findings.
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