Artificial Intelligence

This channel includes news and technology innovations for artificial intelligence (AI) software, also referred to as deep learning, cognitive computing and machine learning. AI technology is being integrated in radiology for imaging appropriate use criteria (AUC), clinical decision support, predictive analytics and to assist radiologists with improved workflow.

The Zap-X stereotactic radiosurgery (SRS) brain radiotherapy system is completely self-shielded, eliminating the need for a concrete vault. The goal of the system is to expand SRS brain therapy by making it easier to access and less expensive by eliminating the large expense of custom built vaults to house the system. #AAPM19 #AAPM2019 #AAPM

The Zap-X stereotactic radiosurgery (SRS) brain radiotherapy system is completely self-shielded, eliminating the need for a concrete vault. The goal of the system is to expand SRS brain therapy by making it easier to access and less expensive by eliminating the large expense of custom-built vaults to house the system. 

Feature | AAPM | August 21, 2019 | Dave Fornell, Editor
There were several trends and new technologies in radiation oncology discussed at the...
Videos | Treatment Planning | August 21, 2019
This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and...
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...
Artificial Intelligence Could Yield More Accurate Breast Cancer Diagnoses
News | Artificial Intelligence | August 13, 2019
August 13, 2019 — University of California Los Angeles (UCLA) researchers have developed an...
Half of Hospital Decision Makers Plan to Invest in AI by 2021
News | Artificial Intelligence | August 08, 2019
August 8, 2019 — A recent study conducted by Olive AI explores how hospital leaders are responding to the imperative to...
Artificial Intelligence Improves Heart Attack Risk Assessment
News | CT Angiography (CTA) | August 06, 2019
August 6, 2019 — When used with a common ...
Montefiore Nyack Hospital Uses Aidoc AI to Spot Urgent Conditions Faster
News | Artificial Intelligence | August 05, 2019
August 5, 2019 — Montefiore Nyack Hospital, an acute care hospital in Rockland County, N.Y., announced it is utilizing...
The top piece of content in July was a video interview explaining how Princess Margaret Cancer Center is using machine learning to create automated treatment plans. This was a hot topic at the American Association of Physicists in Medicine (AAPM) 2019 meeting in July.

The top piece of content in July was a video interview explaining how Princess Margaret Cancer Center is using machine learning to create automated treatment plans. This was a hot topic at the American Association of Physicists in Medicine (AAPM) 2019 meeting in July. 

Feature | August 05, 2019 | Dave Fornell, Editor
August 5, 2019 — Here is the list of the most popular content on the Imaging Technology New (ITN) magazine website from...
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...
Videos | Radiology Business | August 02, 2019
Association for Medical Imaging Management (AHRA) President ...
DrChrono Teams With DeepScribe to Automate Medical Note Taking in EHR
News | Electronic Medical Records (EMR) | August 01, 2019
August 1, 2019 — DrChrono Inc. and DeepScribe announced a partnership so medical practices using DrChrono EHR can use...
Artificial Intelligence Solution Improves Clinical Trial Recruitment

A nurse examines a patient in the Emergency Department of Cincinnati Children’s, where researchers successfully tested artificial intelligence-based technology to improve patient recruitment for clinical trials. Researchers report test results in the journal JMIR Medical Informatics. Image courtesy of Cincinnati Children’s.

News | Artificial Intelligence | July 31, 2019
July 31, 2019 — Clinical trials are a...
Philips Announces 10-year Enterprise Informatics Agreement With Centre Hospitalier Régional Universitaire de Nancy
News | Enterprise Imaging | July 29, 2019
July 29, 2019 — Philips and Centre Hospitalier Régional Universitaire (CHRU) de Nancy, a leading academic hospital in...
New AI Tool Identifies Cancer Outcomes Using Radiology Reports
News | Artificial Intelligence | July 29, 2019
July 29, 2019 — Scientists at Dana-Farber Cancer Institute have demonstrated that an...
Intelligent Ultrasound Group Collaborating With the National Imaging Academy Wales

The ScanTrainer transvaginal simulator is one example of Intelligent Ultrasound's simulation technologies.

News | Ultrasound Imaging | July 26, 2019
July 26, 2019 — Artificial...
Progenics Pharmaceuticals Collaborating With Veterans Affairs on AI Research Program
News | Artificial Intelligence | July 26, 2019
July 26, 2019 — Oncology company Progenics Pharmaceuticals Inc. announced their collaboration with the Veterans Affairs...
John Carrino, M.D., M.Ph., presents “Challenges and Opportunities for Radiology to Prove Value in Alternative Payment Models” at AHRA 2019

John Carrino, M.D., M.Ph., presents “Challenges and Opportunities for Radiology to Prove Value in Alternative Payment Models” at AHRA 2019. Photo by Greg Freiherr

Feature | Radiology Business | July 22, 2019 | By Greg Freiherr
Efforts to reform healthcare are booming, but...
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,...