Imaging is the Answer

Feb 14th, 2014
San Antonio, TX
US
https://store2.aheconline.com/index.php?route=product/product&path=59_81&product_id=1070
The course provides the necessary understanding of CR and DR technology and exposure techniques.
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CDSS improves outcomes among stroke patients
By Kate Madden Yee
Use of a clinical decision-support system (CDSS) with stroke sufferers decreased the incidence of new vascular events at three months.
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Match Day 2026 signals more opportunities in interventional radiology.
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The finding is from a study of multiple PET acquisition techniques and cardiac MRI for measuring left ventricular ejection fraction.
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Evaluation of gated PET data using Corridor4DM. Delineations of LV borders are shown as end-diastolic (ED) frame in horizontal long axis (HLA), as end-systolic (ES) frame in HLA, as ED frame in vertical long axis (VLA), and as ES frame in VLA. Time–volume curve of LV over different phases is shown with volumetric results.
AI-mammography leads to no significant benefits in single-reader study
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An AI mammography tool did not lead to significant changes in breast cancer detection and recall in a single-reader setting.
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An analysis exposes how inconsistent and ambiguous the regulatory landscape is for pediatric-focused AI.
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Lung cancer risk persists years after negative CT screening
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Study results could shape how individuals at risk of lung cancer are screened.
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Scott Young, MD, from the Mayo Clinic and SRU discusses challenges and opportunities for using TVUS to diagnose endometriosis.
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Identifying when children are most susceptible to these toxins could help prevent outcomes like low bone mineral density (BMD).
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This trend reflects growing inequalities in social determinants of health, according to American Cancer Society (ACS) researchers.
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Radiologists navigate perilous malpractice trends
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Venue matters: a look at trends in medical malpractice lawsuits against radiologists.
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Mammography AI approach finds more breast cancers, reduces workload
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An AI approach that excludes low-risk mammograms from radiologist reading led to more cancers being found.
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AI boosts lung nodule detection but doesn't reduce interpretation time
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The study finding is surprising -- and merits further research.
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