In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, Diana Miglioretti, Ph.D., dean’s professor of biostatistics at...
Women's Health
Women's health related technology used to detect and treat breast cancer and cervical cancer, including mammography, breast MRI, ABUS, breast ultrasound, breast biopsy, and breast radiation therapy.
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When planning a screening program to detect the early signs of breast cancer, age is a major consideration.
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At the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium,...
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A 360 view of a simulated breast compression for a mammography exam on a Hologic 3Dimensions Mammography System on the expo floor at the 2018 ...
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Wendie Berg, M.D., Ph.D., FACR, chief scientific advisor to DenseBreast-info.org and professor of radiology at...
In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images. Photo by Greg Freiherr
Feature | Artificial Intelligence | April 19, 2019 | By Greg Freiherr
Commercial efforts to develop...
Videos | Breast Imaging | April 18, 2019
In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, ...
Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org
Feature | Breast Imaging | April 18, 2019 | By Greg Freiherr
When planning a screening program to detect the early signs of breast cancer, age is a major consideration. But it...
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One of several 3-D printed models at Stratasys booth during RSNA 2018.
Blog | RSNA | November 27, 2018
For medical practice to advance, efforts to make this practice more efficient must not come at the expense of...
News | Radiology Business | April 16, 2019
April 16, 2019 — iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens...
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Artificial intelligence (AI) is the hottest topic this year at RSNA 2018. FujiFilm featured an AI lab in its booth.
Blog | RSNA | November 25, 2018
One force behind the development of products on the...
Videos | Mammography | April 15, 2019
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.
Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient....
This image depicts ABUS images with QVCAD results.
Feature | Breast Imaging | April 12, 2019
Imaging Technology News spoke with Bob Foley, vice president of sales and marketing of QView Medical, Inc., about...
News | Interventional Radiology | April 05, 2019
April 5, 2019 — Uterine fibroid embolization (UFE) effectively treats...
News | Enterprise Imaging | April 05, 2019
April 5, 2019 — Visage Imaging will be exhibiting the latest version of the Visage 7 Enterprise Imaging Platform at...
News | Computer-Aided Detection Software | April 04, 2019
April 4, 2019 — iCAD announced it will present its latest...
News | Mammography Reporting Software | April 04, 2019
April 4, 2019 — Ikonopedia will introduce its new Automated Combined...
News | Ultrasound Women's Health | April 03, 2019
April 3, 2019 — SuperSonic Imagine will introduce the new generation of its Aixplorer Mach 30...
News | Breast Imaging | April 03, 2019
April 3, 2019 — Konica Minolta Healthcare Americas Inc. will highlight new features of Exa Mammo, a...
A smart algorithm developed by iCAD outlines and scores a suspicious lesion seen in an image created using digital breast tomography. Displayed is the probability calculated by the algorithm that the outlined area includes a cancerous lesion. Image courtesy of Emily Conant, M.D.
Feature | Artificial Intelligence | April 03, 2019 | Greg Freiherr
Editor's Note: This article was updated following the SBI symposium.
In a study evaluating...
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displayed on...
Sizes of words in this “word cloud” correlate to how often each word was used in survey responses to the question: “What do you perceive are the advantages to using synthetic mammography in screening?” In reference to decreased radiation dose to patients, the words “radiation,” “less” and “dose” were most frequently cited. Illustration courtesy of Samantha Zuckerman, M.D.
Feature | Mammography | April 02, 2019 | By Greg Freiherr
Many mammography practices that use digital breast tomosynthesis (DBT) continue to use dosed digital mammography to...
Since the widespread adoption of digital imaging and PACS, referring physicians seldom visit radiology reading rooms, substantially reducing a major source of feedback for radiologists. (Shown are 2-D and 3-D digital breast images.) A software module to be described April 5 at the SBI/ACR Breast Imaging Symposium has been providing that feedback for radiologists interpreting breast images at the University of Pittsburgh Medical Center. Image courtesy of Hologic
Feature | Women's Health | March 28, 2019 | By Greg Freiherr
The use pattern of a picture archiving and...
