Limited Ob Ultrasound

Apr 11th, 2014Apr 12th, 2014
Houston, TX
US
https://store2.aheconline.com/index.php?route=product/product&path=&product_id=1013
Expedite your patient's diagnosis with the tools and techniques needed to obtain a diagnostic image with ultrasound. This two-day program combines lecture and supervised hands-on scan experience on live models for the healthcare professional.
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Ultrasound Sound Waves 400
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 (DVA) shows promise in reducing radiation doses to patients during certain interventional radiology procedures.
July 10, 2025
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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