Catch up on a variety of FDA news in radiology from the past week.
|Articles|October 24, 2016
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Catch up on the top radiology content of the past week.
In addition to providing higher SNRs in vascular structures and parenchymal organs than energy-integrating detector CT, photon-counting CT enabled an approximately 30 percent reduction in volume CT dose index (CTDIvol) for patients with obesity, according to a new study.
Facilitating enhanced 3D visualization of skeletal anatomy, the BoneEnhance machine learning module reportedly provides automated segmentation of bone and surrounding tissues for the Accuro XV ultrasound system.
Newly published preclinical research signals a substantial conceptual shift with a potential role of photon-counting CT in targeting specific biological processes.
The future of AI in radiology lies in its potential capability to forge connections and enhance efficiencies for enterprise-wide workflows.
In a new podcast episode, Joseph Cavallo, MD, MBA, offered his perspective on AI integration, potential efficiency gains, navigating post-deployment monitoring and how to incorporate AI literacy into radiology resident training.
The FFR-IQ software recently demonstrated a 92.2 percent sensitivity for non-invasive estimation of fractional flow reserve (FFRC) based on coronary CT angiography (CCTA) scans.
Trending on Diagnostic Imaging
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Study Shows PCCT Offers Higher Image Quality and Reduced Radiation Dosing than EID-CT in Obese Patients
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FDA Clears Machine Learning Module for Emerging Musculoskeletal Ultrasound Platform
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FDA Clears AI-Enabled FFR-IQ Software for Estimating Fractional Flow Reserve from CCTA
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Radiology Roundup of FDA News: October 18 — October 24
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