University of Chicago Annual Radiology Review

Mar 9th, 2014Mar 13th, 2014

Chicago, IL

US

http://event.uchicago.edu/maincampus/detail.php?guid=CAL-402882f8-3ea94d4c-013e-ada0416e-000000aceventscalendar@uchicago.edu

Phone:773-702-1056

Join us at this comprehensive review and update of all major subspecialties of radiology. Conventional and new technologies will be explored using didactic and case-based formats. ARS technology will be utilized and SAM credits will be offered.

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

January 14, 2025

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

January 14, 2025

USPSTF boosts DEXA in osteoporosis screening

January 14, 2025

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AI will transform early cancer detection, save lives in 2025

January 13, 2025

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.

January 14, 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.

January 14, 2025

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

Mammo Reading Social

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.

January 10, 2025

Prostate Cancer 3 D Rendering

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

By Joshua Ewell, DO

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.

January 10, 2025

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Y-90 radioembolization safe in people living with HIV

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

January 10, 2025

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DBT on par with mammography for imaging referred women

By Amerigo Allegretto

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

January 10, 2025

Breast Dbt Social

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

By Joshua Ewell, DO

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

January 9, 2025

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