2016 Annual Spring Fling - Day 1

Apr 7th, 2016
Houston, TX
US
https://store.aheconline.com/index.php?route=product/product&path=59&product_id=2251
Phone:800-239-1361
Course topics coming soon.
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AI echo model detects cardiac amyloidosis
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Pelvic (A), femoral and popliteal (B), and cruro-pedal (C) region. The summated digital variance angiography (DVA) image significantly enhances image quality compared to the digital subtraction angiography (DSA) series I–IV (depicting 4 out of 28 (A), 48 (B) and 28 (C) DSA images) of the low dose (LD) acquisitions. Enhancements of iodinated contrast medium (ICM) by DVA depict small vessel structures in detail while the conventional DSA offers a reduced contrast-to-noise ratio (CNR) using LD acquisitions for standalone diagnostic interpretations.
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AI echo model detects cardiac amyloidosis
By Amerigo Allegretto
Researchers are highlighting the performance of their AI screening model based on echocardiography to detect cardiac amyloidosis.
July 10, 2025
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DVA reduces radiation exposure during interventions
By Will Morton
Digital variance angiography shows promise reducing radiation doses to patients during certain interventional radiology procedures.
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Pelvic (A), femoral and popliteal (B), and cruro-pedal (C) region. The summated digital variance angiography (DVA) image significantly enhances image quality compared to the digital subtraction angiography (DSA) series I–IV (depicting 4 out of 28 (A), 48 (B) and 28 (C) DSA images) of the low dose (LD) acquisitions. Enhancements of iodinated contrast medium (ICM) by DVA depict small vessel structures in detail while the conventional DSA offers a reduced contrast-to-noise ratio (CNR) using LD acquisitions for standalone diagnostic interpretations.
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Individually applying liver CT and MRI ancillary features to major imaging features does not affect the performance of LI-RADS.
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AI improves breast cancer detection accuracy among radiologists when reading breast cancer screening exams.
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Dietary choline may improve bone density (BMD) in postmenopausal women.
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