Felix Beacher

Artificial Intelligence
Medical AI: What are the attitudes of imaging practitioners?
The potential of medical imaging artificial intelligence (AI) is widely acknowledged to be game-changing. But the roll-out of AI for radiology has been slower than expected. Felix Beacher of market research firm Omdia discusses possible reasons why.
September 4, 2022
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Ultrasound
AI assistance improves CHD detection on prenatal ultrasound
AI boosts detection of major congenital heart defects (CHDs) on prenatal ultrasound, suggest findings presented at the Annual Pregnancy Meeting of the SMFM.
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Economics
Coding changes that will impact diagnostic and interventional radiology practices in 2025
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PET/CT guides surgery for primary aldosteronism
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Practice Management
ACR/RBMA workforce survey: Radiologist recruiting remains a key concern
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Ultrafast and standard MRI in a 30-year-old woman with triple-negative invasive ductal carcinoma. (A) Ultrafast MRI taken 16.8 seconds after contrast agent injection. (B) Standard MRI taken 58.8 seconds after contrast agent injection. Both images show an oval-shaped, irregular marginated, rim-enhancing mass in the left outer breast. For 3D tumor segmentation, the entire enhanced tumor margins were drawn from top to bottom of each tumor in axial views of U2 phase postcontrast ultrafast MRI and the initial phase postcontrast standard MRI. Among the 14 ultrafast images, U1 is the first phase in which the signal intensity of the hotspot region of interest of the tumor is 10% higher than the average signal intensity of unenhanced images. U2 is the immediate next phase of U1 and the well-established tumor enhancement time.
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