Society of Breast Imaging (SBI)

Image by laurixnh from Pixabay

Image by laurixnh from Pixabay 

Blog | Breast Imaging | October 09, 2019
Breast cancer has affected our patients, our mothers, our sisters, our colleagues, our friends … and ourselves. In this...
Volpara's breast density scale

Levels of breast density.

News | Women's Health | October 01, 2019
Celebrating its 10th Anniversary in 2019,...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

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. Image courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Society of Breast Imaging (SBI) | September 06, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient....
GE Healthcare showcases Senographe Pristina Serena featuring its add-on-biopsy kit at the Breast Imaging Symposium. Photo by Greg Freiherr

GE Healthcare showcases Senographe Pristina Serena featuring its add-on-biopsy kit at the Breast Imaging Symposium. Photo by Greg Freiherr

Feature | Breast Imaging | July 03, 2019 | By Greg Freiherr
Productivity and its enabler — efficiency — guided the display of products at the April...
iCAD Introduces ProFound AI for 2D Mammography in Europe
News | Artificial Intelligence | June 13, 2019
June 13, 2019 — iCAD Inc. announced the launch of ProFound AI for 2D Mammography in Europe. This software is the latest...
Volpara Health Technologies to Acquire MRS Systems Inc.
News | Mammography Reporting Software | June 04, 2019
June 4, 2019 — Volpara Health Technologies, Volpara Solutions' parent company, has signed a binding agreement to...
The Cianna Medical Savi Scout Radar Localization system, showing the console, detector and the marker, with a size comparison and X-ray images inside breast tissue. For more information on the learning curve of its use http://sabcs16.posterview.com/nosl/p/P1-11-06.

The Cianna Medical Savi Scout Radar Localization system, showing the console, detector and the marker, with a size comparison and X-ray images inside breast tissue. For more information on the learning curve of its use http://sabcs16.posterview.com/nosl/p/P1-11-06.

Feature | Breast Imaging | April 24, 2019 | By Greg Freiherr
Wires have traditionally been placed prior to lumpectomy to mark cancerous tissues in the breast. Wire-free localizers...
GE Healthcare showcases Senographe Pristina with its add-on-biopsy kit at the breast imaging symposium

GE Healthcare showcases Senographe Pristina with its add-on-biopsy kit at the breast imaging symposium in Hollywood, Florida. Photo by Greg Freiherr

Feature | Breast Imaging | April 23, 2019 | By Greg Freiherr
Signs of what the future may look like in women’s health dotted the exhibit floor of the...
Graphic courtesy of Pixabay

Graphic courtesy of Pixabay

Feature | Artificial Intelligence | April 22, 2019 | By Greg Freiherr
...
In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images

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

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...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

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....
Visage 7 Enterprise Imaging Platform Highlighted at 2019 SBI/ACR Breast Imaging Symposium
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 the...
iCAD Highlighting ProFound AI for Tomosynthesis at 2019 SBI Annual Symposium
News | Computer-Aided Detection Software | April 04, 2019
April 4, 2019 — iCAD announced it will present its latest...
Ikonopedia Introduces Automated Combined Reporting Package at SBI
News | Mammography Reporting Software | April 04, 2019
April 4, 2019 — Ikonopedia will introduce its new Automated Combined...
SuperSonic Imagine Highlights Aixplorer Mach 30 Breast Ultrasound at SBI/ACR Breast Imaging Symposium
News | Ultrasound Women's Health | April 03, 2019
April 3, 2019 — SuperSonic Imagine will introduce the new generation of its Aixplorer Mach 30...
Konica Minolta Highlights New Exa Mammo Features at SBI/ACR Breast Imaging Symposium
News | Breast Imaging | April 03, 2019
April 3, 2019 — Konica Minolta Healthcare Americas Inc. will highlight new features of Exa Mammo, a...