To determine changes in site- and radiologist-specific imaging volumes before, during and after the COVID-19 pandemic from a large, diverse sample of United States radiology practices.
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.
-
Factors Impacting the Performance of Deep Learning Detection of Pulmonary Emboli
AI models are increasingly adopted in clinical practice, yet their generalizability outside controlled validation settings remains unclear. We aimed to evaluate the real-world performance of an FDA-cleared commercial pulmonary embolism (PE) detection model and identify technical, demographic, and clinical factors associated with performance variation, to inform post-production monitoring and deployment strategies.
-
Deep Learning–Based denoising improves myocardial late enhancement imaging with spectral photon-counting CT
Myocardial late enhancement (LE) imaging with photon-counting detector (PCD)–CT offers a promising alternative to LGE-MRI, with spectral reconstructions such as iodine maps and low-energy VMIs enabling accurate scar visualization.1,2 Because these reconstructions are noise-prone, a new PCD-specific U-net–based denoising algorithm (ClariCT.AI) may enhance image quality (Fig. 1A).3 This study assessed the added value of post-hoc CNN denoising on image quality and diagnostic performance of myocardi…
-
Quick Take: Pulmonary Embolism
Dr Neena Chandrasekaran discusses pulmonary embolism. Medscape
-
Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting
Radiology residents require timely, personalized feedback to develop accurate image analysis and reporting skills. Increasing clinical workload often limits attendings’ ability to provide guidance. This study evaluates a HIPAA-compliant GPT-4o system that delivers automated feedback on breast imaging reports drafted by residents in real clinical settings.
-
Coronary computed Tomography–Based surveillance for coronary allograft vasculopathy in pediatric heart transplant recipients: The role of CT-derived fractional flow reserve
Coronary allograft vasculopathy (CAV) is a major cause of long-term graft loss following pediatric heart transplantation.1 Invasive coronary angiography (ICA) remains the golden standard for diagnosis and surveillance but carries procedural risks and challenges, especially in younger patients requiring repeated studies. Coronary computed tomography angiography (CCT) offers a non-invasive alternative with high spatial resolution. The addition of CT-derived fractional flow reserve (FFRct) may prov…
-
Cervical Length Predicts Preterm Birth in Twin Pregnancies
Cervical length measurement during the first trimester may help identify twin pregnancies at risk for preterm birth before 34 weeks of gestation. Medscape News UK
-
Sexual Dysfunction in Cancer: More Common Than You Think
Dyspareunia affects women of all ages with cancer, so assess pain location, intensity, and dryness, as well as partner support and distress. Medscape News Europe