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 women, and the most commonly...
The needs of rural providers are both simpler and more challenging than those of urban centers, as rural providers must find systems that can handle all patients who come to them

Image courtesy of Pixabay

Sponsored Content | Blog | Advanced Visualization | July 19, 2019
Rural America does not show up in any atlas but, geographically, it accounts for 80 percent of the United States’ land...
Low Doses of Radiation Promote Cancer-capable Cells
News | Radiation Dose Management | July 18, 2019
July 18, 2019 — Low doses of radiation equivalent to three computed tomography (CT) scans, which are considered safe,...
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,...
Johns Hopkins Named Qualified Provider-led Entity to Develop Criteria for Diagnostic Imaging
News | Clinical Decision Support | July 18, 2019
July 18, 2019 — On June 30, 2019, the Centers for Medicare & Medicaid Services (CMS) announced the Johns Hopkins...
Radiology, medical imaging, is facing declining reimbursements, imaging departments continue to comprise a significant portion of the revenue stream in most healthcare organizations. Stewards of these departments are continuously looking for ways to optimize efficiency, increase patient and staff satisfaction, and lower costs without compromising the delivery of excellent patient care. Image by rawpixel from Pixabay

Image by rawpixel from Pixabay 

Feature | Radiology Business | July 18, 2019 | By Stefanie Manack and Judy Zakutny
Approximately 30 percent of a hospital or health system’s profit comes from imaging according, to Imaging Market Trends...
Sponsored Content | Blog | Electronic Medical Records (EMR) | July 17, 2019
A lot of computers are being made without disk readers, an indication that this form of media is on the way out. So why...
Paige Announces Clinical-grade Artificial Intelligence in Pathology
News | Digital Pathology | July 16, 2019
July 16, 2019 — Computational pathology company Paige announced the publication of an article in Nature Medicine...
Anatomage Releases Anatomage Cloud Platform
News | Remote Viewing Systems | July 16, 2019
July 16, 2019 — Anatomage Inc. released an update to the Anatomage Cloud platform that allows medical and dental...
RaySearch Releases Version 3A of RayCare Oncology Information System
Technology | Oncology Information Management Systems (OIMS) | July 15, 2019
July 15, 2019 — RaySearch has released RayCare 3A, a new version of the next-generation oncology information system (...
Mirion Showcases Instadose2 Wireless Dual Detector Dosimeter at AAPM and AHRA
News | Radiation Dose Management | July 15, 2019
July 15, 2019 — Featuring dual detectors, the Instadose2 dosimeter addresses international requirements for independent...
Example of an intentionally truncated CT image

Figure 1: Example of an intentionally truncated CT image. The truncation percentage was calculated as the ratio of the patient border touching the field of view to the total patient border (red/(read+blue)). Image courtesy of Qaelum.

Feature | Radiation Dose Management | July 15, 2019 | Niki Fitousi, Ph.D., and An Dedulle
One of the main benefits of a radiation dose management system is the possibility to automatically generate alerts when...
Graphic courtesy Pixabay

Graphic courtesy Pixabay

Feature | Artificial Intelligence | July 15, 2019 | By Greg Freiherr
Siemens has long focused on automation as a way to make diagnostic equipment faster and more efficient. Artificial...
Videos | Artificial Intelligence | July 12, 2019
Khan Siddiqui, M.D., founder and CEO of HOPPR, discusses the economic advantages and costs presented by artificial...
Videos | Digital Pathology | July 11, 2019
Toby Cornish, M.D., Ph.D., associate professor and medical director of informatics at the University of Colorado School...
Fluke Biomedical Introduces RaySafe 452 Survey Meter
Technology | Radiation Dose Management | July 11, 2019
July 11, 2019 – Radiation measurement often requires different devices for varying applications, adding to the cost and...
FDA Clears Koios DS Breast 2.0 AI-based Software
News | Ultrasound Women's Health | July 11, 2019
July 11, 2019 — Koios Medical announced its second 510(k) clearance from the U.S. Food and Drug Administration (FDA)....
360 Photos | Ultrasound Imaging | July 11, 2019
This 360 degree photo shows a basic, point-of-care cardiac echocardiogram being performed using a smartphone turned...
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...
Researchers Use Artificial Intelligence to Deliver Personalized Radiation Therapy
News | Radiation Therapy | July 09, 2019
July 9, 2019 — New Cleveland Clinic-led research shows that artificial intelligence (AI) can use medical scans and...