Prompt, intensive blood pressure lowering within days of a TIA or minor stroke cuts recurrent stroke rates, results of a major UK study show. Medscape Medical News
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Radiologists net $824M in industry research payments
Between 2015 and 2024, annual industry-sponsored research payments to radiologists increased by 50%.
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Hearing Loss Reveals Granulomatosis in a 34-Year-Old Man
Persistent ear pain and cranial nerve deficits in a young man lead to a diagnosis of organ-threatening granulomatosis with polyangiitis requiring urgent treatment. Medscape UK
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The Majority of Breast Imaging Services for US Medicare Beneficiaries Are Now Provided by Subspecialized Breast Radiologists
The aim of this study was to evaluate breast imaging (BI) productivity trends in the US Medicare population from 2013 to 2022, including subspecialized interpretation trends overall, and by imaging modality.
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Trends in Industry-Sponsored Research Payments to Radiologist Principal Investigators
Industry-sponsored research payments (hereafter research payments) play an important role in the advancement of the medical sciences. Recent analysis of the Open Payments program (OPP) demonstrated that research payments are increasingly dispersed through noncovered entities (NCEs) across specialties. It is unknown how research payments are distributed to radiologists. The aims of this study were to assess trends in research payments to radiologists between 2015 and 2024 and to characterize paym…
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Artificial intelligence-guided quantitative coronary CT angiography (AI-QCT) automated detection and occlusion length estimation of chronic total occlusions
Artificial intelligence (AI)-enhanced coronary computed tomography angiography (CCTA) analyses may enhance the detection of chronic coronary total occlusions (CTOs) and facilitate pre-procedural planning for CTO percutaneous coronary intervention (PCI).
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Multi-modal deep learning for predicting functional outcomes in intracerebral hemorrhage using 3D CT and clinical data
Intracerebral hemorrhage (ICH) is a critical neurological condition with a 30-day mortality rate as high as 35–52 % [1]. Among survivors, only a small proportion regain functional independence, placing a substantial economic and caregiving burden on families and society [2]. Therefore, accurately predicting long-term functional outcomes in the early stages of the disease is crucial for guiding individualized treatment and optimizing the allocation of medical resources [3].