Breast: Page 107

AI for DBT improves breast cancer detection
By Kate Madden Yee
Sunday, December 1 | 11:45 a.m.-11:55 a.m. | SSA01-07 | Room S406AWhen radiologists use artificial intelligence (AI) with digital breast tomosynthesis (DBT), their cancer detection performance and efficiency improve, according to data to be presented Sunday morning.
November 4, 2019
AI can be used alone for low-malignancy mammograms
By Kate Madden Yee
Sunday, December 1 | 11:15 a.m.-11:25 a.m. | SSA01-04 | Room S406AAn artificial intelligence (AI) algorithm can be used for standalone interpretation of mammograms that have a low probability of being malignant, researchers from the University of Southern California will report in this presentation.
November 4, 2019
2017 11 07 18 37 9362 Roadies Ribbon 400
Synthesized mammography not ready on its own for masses
By Kate Madden Yee
Sunday, December 1 | 10:50 a.m.-11:00 a.m. | SSC13-03 | Room S503ABSynthesized 2D mammography isn't ready to be used as standalone technology when it comes to finding breast masses, according to research that will be presented Sunday morning.
November 4, 2019
Deep learning improves DBT's efficiency
By Kate Madden Yee
Sunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA01-01 | Room S406AIn this presentation, researchers will describe how using a deep-learning algorithm with digital breast tomosynthesis (DBT) can reduce radiologists' interpretation times.
November 4, 2019
Road to RSNA 2019: Women's Imaging Preview
By Kate Madden Yee
At RSNA 2019, attendees will have the opportunity to learn how artificial intelligence (AI) is transforming women's imaging, such as enhancing breast imaging, improving radiologists' workflow, and reducing recall rates with digital mammography. This year's conference will also feature presentations on shear-wave elastography, contrast-enhanced spectral mammography, and more.
November 4, 2019
2017 11 02 17 42 1107 Road To Rsna 400
Same-day breast biopsies reduce healthcare disparities
By Kate Madden Yee
Implementing a same-day breast biopsy program can reduce healthcare disparities due to race/ethnicity or insurance, according to a study published in the November issue of the Journal of the American College of Radiology.
November 3, 2019
2018 07 25 21 27 0157 Patient Woman Doctor 400
Deep-learning models could be fooled by fake images
By Erik L. Ridley
Tuesday, December 3 | 9:05 a.m.-9:15 a.m. | RC315-04 | Arie Crown TheaterFake images produced by generative adversarial networks (GANs) have the potential to fool deep-learning algorithms and sometimes even radiologists, according to this talk.
November 3, 2019
Radiomics can assess metastatic liver disease treatment
By Erik L. Ridley
Sunday, December 1 | 11:55 a.m.-12:05 p.m. | SSA08-08 | Room S104ARadiomics and machine learning can accurately assess treatment response for liver metastases in breast cancer patients, according to this scientific presentation.
November 3, 2019
AI for DBT improves breast cancer detection
By Kate Madden Yee
Sunday, December 1 | 11:45 a.m.-11:55 a.m. | SSA01-07 | Room S406AWhen radiologists use artificial intelligence (AI) with digital breast tomosynthesis (DBT), their cancer detection performance and efficiency improve, according to data to be presented Sunday morning.
November 3, 2019
AI can be used alone for low-malignancy mammograms
By Kate Madden Yee
Sunday, December 1 | 11:15 a.m.-11:25 a.m. | SSA01-04 | Room S406AAn artificial intelligence (AI) algorithm can be used for standalone interpretation of mammograms that have a low probability of being malignant, researchers from the University of Southern California will report in this presentation.
November 3, 2019
Deep learning improves DBT's efficiency
By Kate Madden Yee
Sunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA01-01 | Room S406AIn this presentation, researchers will describe how using a deep-learning algorithm with digital breast tomosynthesis (DBT) can reduce radiologists' interpretation times.
November 3, 2019
Deep learning improves DBT's efficiency
By Kate Madden Yee
Sunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA01-01 | Room S406AIn this presentation, researchers will describe how using a deep-learning algorithm with digital breast tomosynthesis (DBT) can reduce radiologists' interpretation times.
October 30, 2019
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