Peripheral Vascular Case Studies and Diagnostic Challenges

Dec 14th, 2013

Houston, TX

US

http://store.aheconline.com/DisplayDetail.aspx?pid=7612

Phone:800-239-1361

Whether you need to sharpen your interpretation skills or document case studies/CME for Vascular Lab Accreditation, this course is for you. The course will equip you with tools and techniques to help you achieve greater confidence and accuracy.

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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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AI will transform early cancer detection, save lives in 2025

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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

By Amerigo Allegretto

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

January 14, 2025

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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.

January 13, 2025

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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.

January 13, 2025

CEM-, radiomics-based models predict breast biopsy outcomes

By Amerigo Allegretto

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

January 13, 2025

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Genetic testing, risk assessment tied to more breast MRI uptake

By Amerigo Allegretto

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

January 13, 2025

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

By Kate Madden Yee

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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The John Henry Generation: The last of the radiologists, Part 1

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In a two-part series, radiologist Joshua Ewell, DO, discusses the looming crisis in radiology, advances in AI, and and the future of radiologists.

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