A Diverse Perspective of Radiologic Technology

Dec 6th, 2013
Austin, TX
US
https://store2.aheconline.com/index.php?route=product/product&path=59&product_id=787
Phone:800-239-1361
This new CE course takes a look back at the past of radiography and where the future is leading with a diverse day of topics.
Latest in Home
Kalmar Mark Thumbnail
Shaping the future of radiology in 2025: Trends, threats, and opportunities
January 14, 2025
Heart Valves 3 D Base Thumbnail
ML model using CCTA, MRI data predicts MACE in cardiac patients
January 14, 2025
Bmd
USPSTF boosts DEXA in osteoporosis screening
January 14, 2025
Roland Rott Thumbnail
AI will transform early cancer detection, save lives in 2025
January 13, 2025
Related Stories
Auntminnie Home
Home
Advances in Molecular Breast Imaging
Close
Home
Banner Specification -- Webinar
Get It All Small
Home
HELPTAG:regMarketing
2008 04 22 16 34 32 706
Home
Contact Us
More in Home
Shaping the future of radiology in 2025: Trends, threats, and opportunities
By Mark Kalmar
Mark Kalmar of Texas Radiology Associates discusses the key issues facing radiology in 2025.
January 14, 2025
Kalmar Mark Thumbnail
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
Heart Valves 3 D Base Thumbnail
USPSTF boosts DEXA in osteoporosis screening
By Will Morton
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
Bmd
AI will transform early cancer detection, save lives in 2025
By Roland Rott
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
Roland Rott Thumbnail
PET tracks long-term changes in patients with dementia
By Will Morton
PET imaging can assess brain metabolism changes over time in individuals with prodromal dementia with Lewy bodies (DLB) and probable DLB.
January 13, 2025
Ad
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
Mri Breast 400
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
Ewell Joshua Thumbnail
Y-90 radioembolization safe in people living with HIV
By Will Morton
Yttrium-90 (Y-90) radioembolization to treat liver cancer appears safe and effective in people living with HIV.
January 10, 2025
Liver Cancer Thumbnail
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
Ewell Joshua Thumbnail
Page 1 of 110
Next Page