AuntMinnie

APRIL 10, 2024

A deep-learning algorithm can rule out the presence of breast cancer on screening mammograms, improving specificity and yielding significant workflow and downstream savings, according to research published April 10 in Radiology. dataset 1: 143,593 mammograms interpreted by 11 breast radiologists from 2008 to 2017 U.S.

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AuntMinnie

JUNE 18, 2024

Combining full-field digital mammography with ultrasound tomography can improve breast cancer detection and be helpful in imaging dense breasts, according to research published June 18 in Radiology. Previous studies suggest that women with dense breasts benefit from supplemental ultrasound imaging. minutes for mammography alone.

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Imaging Technology

JULY 31, 2023

This AJR accepted manuscript included 1,325 women (mean age, 53 years) with dense breasts who underwent both screening mammography and supplementary breast US within a 1-month interval from January 2017 to December 2017; prior mammogram and US were available to compare in 91.2% and 91.8%, respectively. s analysis.

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AuntMinnie

JANUARY 2, 2024

Tim Merchant, national director of screening networks and population health strategy for RadNet, said the Delaware location expands RadNet's statewide breast cancer screening network farther south in Delaware and adds an AI-enabled retail screening-only clinic to the multisite Delaware Imaging Network. RadNet acquired DeepHealth in 2020.

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Imaging Technology

JUNE 26, 2023

1 The new FDA approved indication aligns with the recent increased focus on supplemental imaging needs for women at a higher risk for breast cancer , which may include the 40-50% of U.S. Breast Density on a Mammogram. VIDEO “Big Concerns Remain for MRI Gadolinium Contrast Safety at RSNA 2017,” An interview with Emanuel Kanal, M.D.

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Mammography Educators

FEBRUARY 2, 2022

R)(M)(ARRT), CRT(M), FSBI, FNCBC, Director of Education There is so much discussion regarding visualization of the Inframammary Fold (IMF) on the Quality Breast Imagers (QBI) Facebook Page , I thought it would be appropriate to write a blog and share my thoughts about recommendations that have been made. Miller , R.T.(R)(M)(ARRT),

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The British Institute of Radiology

SEPTEMBER 13, 2022

The integrated AI powered software solutions employ machine-learning and deep learning algorithms developed and trained on a large number of tomosynthesis (3D Mammography ) images to aid cancer detection, assess breast density, and accelerate diagnosis. Diagnostic innovation is on a trajectory that we cannot ignore. 3] Olivia DiPrete, Ana P.

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Radiology Cafe

FEBRUARY 5, 2019

After working for weeks in his lab experimenting on the production of ‘strange rays’, which he referred to as ‘X’, he asked his wife Anna Bertha to lend ‘a hand’, the left one to be precise, which he used to produce the first X-ray image. after seeing the image. (2) 9) This image nearly took him 5 hours to acquire.

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