Vascular Ultrasound Case Studies Review Webinar

Oct 31st, 2012Nov 1st, 2012

Webinar

https://www.gcus.com/online/about.asp?live-webinar=147/Vascular-Case-Studies

Phone:800-619-1900

Designed with the interpreting physician in mind and those preparing to take the RPVI exam.

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AI guidance leads to better LUS image acquisition by novice users

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POCUS useful for diagnosis of retained conception tissue

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Point-of-care ultrasound (POCUS) can be a useful tool for diagnosing the presence of retained conception tissue.

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Amy Thompson of Signify Research shares five predictions for the Imaging IT and AI markets in a new column.

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Simulated contrast-enhanced MR images from noncontrast sequences using deep learning show promise for assessing clinically significant prostate cancer.

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AI guidance leads to better LUS image acquisition by novice users

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Healthcare professionals who are not sonography experts can successfully acquire lung ultrasound (LUS) images with AI assistance.

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Measuring myelin volume with synthetic MRI helps predict stroke outcomes

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Stroke patients with large total myelin volume measured on synthetic MR imaging appear to have good functional outcomes on follow-up.

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Shaping the future of radiology in 2025: Trends, threats, and opportunities

Mark Kalmar of Texas Radiology Associates discusses the key issues facing radiology in 2025.

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ML model using CCTA, MRI data predicts MACE in cardiac patients

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A machine-learning (ML) model that includes both CCTA and stress cardiac MRI data can accurately predict major adverse cardiovascular events (MACE).

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USPSTF boosts DEXA in osteoporosis screening

The U.S. Preventive Services Task Force (USPSTF) has placed a greater emphasis on the use of dual-energy x-ray absorptiometry (DEXA) for osteoporosis screening.

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AI will transform early cancer detection, save lives in 2025

In a new column, Roland Rott of GE HealthCare makes the case that 2025 will be a watershed year for AI in radiology.

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PET tracks long-term changes in patients with dementia

PET imaging can assess brain metabolism changes over time in individuals with prodromal dementia with Lewy bodies (DLB) and probable DLB.

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CEM-, radiomics-based models predict breast biopsy outcomes

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Machine-learning models combining features from radiomics and contrast-enhanced mammography (CEM) can predict breast biopsy outcomes in women.

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Genetic testing, risk assessment tied to more breast MRI uptake

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Women with high-risk pathological variants for breast cancer as identified by genetic testing and risk assessment are more likely to undergo breast MRI.

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