Mammography

Mammography is a breast imaging technique that uses X-rays to diagnose and locate tumors of the breasts.

Genia Sutton, intGenia Sutton, interim director of radiology

Genia Sutton, interim director of radiology, has seen the benefit to patients. “Five minutes is a lot of time if you are thinking you may have breast cancer,” she said. “Now, technologists aren’t as rushed. They can give a more personal touch because they can spend more time with their patients.”

Sponsored Content | Case Study | Mammography | October 10, 2019
When Cullman Regional Medical Center in Alabama decided to...
Breast cancer awareness month is October
News | Clinical Case Studies | October 03, 2019
A decades-long decline in the breast cancer death rate continues, but has begun to slow in recent years, while breast...
Volpara's breast density scale

Levels of breast density.

News | Women's Health | October 01, 2019
Celebrating its 10th Anniversary in 2019,...
Discomfort May Deter Large Number of Women From Obtaining Mammograms
News | Mammography | September 25, 2019
September 25, 2019 — Siemens Healthineers and national nonprofit HealthyWomen announced results from a new national...
Densitas Wins Major Procurement of Breast Density Software for DIMASOS Breast Screening Trial
News | Breast Density | September 20, 2019
September 20, 2019 — Densitas Inc. announced it has won a procurement of its densitas densityai software for deployment...
Screening Mammography Could Benefit Men at High Risk of Breast Cancer
News | Mammography | September 18, 2019
September 18, 2019 — Selective mammography screening can...
iCAD's ProFound AI Wins Best New Radiology Solution in 2019 MedTech Breakthrough Awards
News | Computer-Aided Detection Software | September 09, 2019
September 9, 2019 — iCAD Inc. announced MedTech Breakthrough, an independent organization that recognizes the top...
Ashley County Medical Center Installs Arkansas' First Fujifilm Aspire Cristalle With DBT
News | Mammography | August 27, 2019
August 27, 2019 – Fujifilm Medical Systems U.S.A. Inc. recently announced that Ashley County Medical Center (Crossett,...
Sectra Signs Enterprise Imaging Contract With Vanderbilt Health
News | Enterprise Imaging | August 21, 2019
August 21, 2019 — Sectra will install its enterprise imaging...
Lunit Receives Korea MFDS Approval for Lunit Insight MMG
News | Artificial Intelligence | August 19, 2019
August 19, 2019 — Lunit has announced Korea Ministry of Food and Drug Safety (MFDS) approval of its...
Imago Systems Announces Collaboration With Mayo Clinic for Breast Imaging

Image courtesy of Imago Systems

News | Mammography | August 14, 2019
August 14, 2019 — Image visualization company Imago Systems announced it has signed a know-how license with Mayo Clinic...
Volpara to Distribute Screenpoint Medical's Transpara AI Solution
News | Breast Imaging | August 02, 2019
August 2, 2019 — Volpara Solutions and ScreenPoint Medical BV signed an agreement under which Volpara will sell...
Ikonopedia Releases Automated Combined Reporting Package at AHRA
News | Mammography Reporting Software | July 26, 2019
July 26, 2019 — Ikonopedia showcased its recently released Automated Combined Reporting package and its entire suite of...
Hologic Partners With MagView to Develop Unifi EQUIP Solution
Technology | Mammography Reporting Software | July 25, 2019
July 25, 2019 – Hologic announced a partnership with...
Fujifilm Releases Tomosynthesis Biopsy Option for Aspire Cristalle Mammography System
Technology | Breast Biopsy Systems | July 24, 2019
July 24, 2019 – Fujifilm Medical Systems U.S.A. Inc. recently expanded its...
IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017.

IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017, and who had health records for at least one year prior to the mammogram. The algorithm was trained on 9,611 mammograms. Image courtesy of Radiology.

Feature | Artificial Intelligence | July 19, 2019 | Michal Chorev
July 19, 2019 — Breast cancer is the global leading cause of cancer-related deaths in...
Paragon Biosciences Launches Qlarity Imaging to Advance FDA-cleared AI Breast Cancer Diagnosis System

Qlarity Imaging’s software is used to assist radiologists in the assessment and characterization of breast lesions. Imaging features are synthesized by an artificial intelligence algorithm into a single value, the QI score, which is analyzed relative to a database of reference abnormalities with known ground truth. Image courtesy of Business Wire.

Technology | Artificial Intelligence | July 18, 2019
July 18, 2019 — Paragon Biosciences LLC announced the launch of its seventh portfolio company, Qlarity Imaging LLC,...
SimonMed Imaging Implements ProFound AI for 3-D Tomosynthesis
News | Mammography | July 10, 2019
July 10, 2019 — Arizona-based SimonMed Imaging announced their implementation of the first U.S. Food and Drug...