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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ACR Appropriateness Criteria® Thoracic Venous Occlusions-Suspected Superior Vena Cava Syndrome
Superior vena cava (SVC) syndrome occurs in approximately 15,000 people in the United States each year. It most commonly occurs secondary to thoracic malignancies, mostly primary lung cancer and lymphoma. The cause is occlusion of the SVC or brachiocephalic veins. The following recommendations for initial imaging evaluation of acute or chronic SVC syndrome are presented. Contrast-enhanced chest CT scans, particularly CT angiography/venography, with or without simultaneous inclusion of the neck a…
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ACR Appropriateness Criteria® Ingested or Aspirated Foreign Body-Child
Ingestion or aspiration of foreign bodies (FBs) is a common reason for pediatric emergency department visits. In this document, three variants were developed. In Variant 1 (suspect ingested or aspirated FB, initial imaging), neck, chest, abdomen, and pelvis radiographs are usually appropriate to identify the presence and location of a swallowed or inhaled FB. Low-dose noncontrast chest CT may also be appropriate when there is high suspicion for radiolucent FB. In Variant 2 (suspect ingested FB, …
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A New Chapter for the ACR Appropriateness Criteria®
The ACR Appropriateness Criteria® (AC) have long been a trusted source for evidence-based imaging recommendations, guiding clinicians and referring providers in making the most appropriate imaging or treatment decisions across a wide range of clinical scenarios. As the landscape of medicine continues to evolve rapidly, so too must the way we deliver timely, relevant, and accessible guidance to the medical community.
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United States radiology imaging and workforce volumes 2017 to 2024: An analysis of 46.4 million imaging examinations from 167 radiology facilities
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.
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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.
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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.