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Theranostic pair ready for testing in lung cancer
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LLMs in radiology may find opening in updated FDA guidance
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Diffusion motion correction boosts portable brain CT image quality
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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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The finding underscores the algorithm's potential for imaging severely ill patients with portable CT.
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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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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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Lung Cancer gno Av Jz1 Rj
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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Adding endovascular recanalization does not improve sNAIAO treatment
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Adding endovascular recanalization does not improve outcomes for symptomatic nonacute intracranial artery occlusion (sNAIAO).
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LLMs help automate PI-RADS classification from MRI reports
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The study findings could translate to better patient care, as correct classification of prostate lesions is key to treatment.
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