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May 3, 2019
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What effect will AI have on the radiologist workforce?
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Physicians make more reliable TikToks about breast cancer screening
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Key neurologic imaging patterns of recreational drug use in the ED
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Theranostic pair ready for testing in lung cancer
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What effect will AI have on the radiologist workforce?
By Will Morton
An analysis shows that AI will likely cause an up to a 33% reduction in the need for radiologists over the next five years.
January 9, 2026
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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.
January 9, 2026
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Key neurologic imaging patterns of recreational drug use in the ED
By Kate Madden Yee
Identifying neurologic signs of drug use in emergency department (ED) patients is an important way radiologists contribute to care.
January 9, 2026
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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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2025's budget bill could lead to more than 1M missed cancer screenings
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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 U.S. FDA has released updated guidance that could pave the way for wider use of large language models (LLMs) in radiology.
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Diffusion motion correction boosts portable brain CT image quality
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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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GPT-4o bests radiologists for protocoling abdominal and pelvic CT scans
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The study findings could improve department workflow, allowing radiologists to focus on "core interpretive responsibilities."
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