Introduction to Abdominal Ultrasound

Apr 30th, 2013May 2nd, 2013

Houston, TX

US

https://www.aheconline.com

The presentation of the basic ultrasound techniques involved in completing an abdominal ultrasound series and general handling of the ultrasound device.

Measuring myelin volume with synthetic MRI helps predict stroke outcomes

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

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

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USPSTF boosts DEXA in osteoporosis screening

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Measuring myelin volume with synthetic MRI helps predict stroke outcomes

By Kate Madden Yee

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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Deep-learning model based on MRI data predicts prostate cancer risk

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A deep-learning model based on MRI and clinical parameters appears effective for predicting the risk of prostate cancer progression.

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The John Henry Generation: The last of the radiologists, Part 2

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In part 2 of his two-part series, Joshua Ewell, DO, discuss economic pressures, philosophical and spiritual implications, and closing thoughts on the future of AI in radiology.

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Yttrium-90 (Y-90) radioembolization to treat liver cancer appears safe and effective in people living with HIV.

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DBT on par with mammography for imaging referred women

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Digital breast tomosynthesis (DBT) has a diagnostic accuracy comparable to digital mammography for women referred for breast imaging.

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