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.

As the role of artificial intelligence continues to expand, many companies are making significant investments in this technology to offer solutions
Feature | Artificial Intelligence | October 09, 2019 | By Sharmistha Sarkar
Artificial intelligence (AI) is a technology...
An illustration of radiology department analytics data showing GE Healthcare's business analytics software.
Feature | Radiology Business | October 08, 2019 | April Wilson
According to IBM, the world creates 2.5 quintillion bytes of data daily. A large chunk of this data is healthcare...
Attendees of ASTRO 2019 walked the halls of McCormick Place in Chicago, Ill.

Attendees of ASTRO 2019 walked the halls of McCormick Place in Chicago, Ill.

Feature | ASTRO | October 03, 2019 | By Greg Freiherr
At the American Society for Radiation Oncology’s (ASTRO) 2019...
AI Accurately Detects Key Chest X-Ray Pneumonia Findings Within 10 Seconds
News | Artificial Intelligence | September 30, 2019
September 30, 2019 — Researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how...
AI Accurately Predicts Radiotherapy Side Effects for Head and Neck Cancer Patients
News | Artificial Intelligence | September 26, 2019
September 26, 2019 — For the first time, a sophisticated computer model has been shown to accurately predict two of the...
FDA Clears Modules of AI-Rad Companion Chest CT From Siemens Healthineers
Technology | Computed Tomography (CT) | September 26, 2019
September 26, 2019 — The U.S. Food and Drug Administration (FDA) has cleared three modules of AI-Rad Companion Chest CT...
Fujifilm Sonosite Partnering With Artificial Intelligence Incubator to Improve Ultrasound Image Interpretation
News | Ultrasound Imaging | September 23, 2019
September 23, 2019 — Fujifilm SonoSite Inc. and the Allen Institute of...
First Patients Treated With Machine Learning-generated Plans from RayStation 8B
News | Treatment Planning | September 23, 2019
September 23, 2019 — The first-ever patient radiation...
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...
FDA Clears GE Healthcare's Critical Care Suite Chest X-ray AI
Technology | X-Ray | September 12, 2019
September 12, 2019 – GE Healthcare announced the U.S. Food and Drug Administration’s (FDA) 510(k) clearance of Critical...
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...
Imaging Biometrics and Medical College of Wisconsin Awarded NIH Grant
News | Neuro Imaging | September 09, 2019
September 9, 2019 — Imaging Biometrics LLC (IB), in collaboration with the Medical College of Wisconsin (MCW), has...
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....
Siemens executives Peter Shen (left) and Wesley Gilson prepare to present about artificial intelligence July 21 at the annual AHRA meeting.

Siemens executives Peter Shen (left) and Wesley Gilson prepare to present about artificial intelligence July 21 at the annual AHRA meeting.

Blog | Artificial Intelligence | September 06, 2019
“It’s tough to make predictions, especially about the future.” — Yogi Berra Yogi was right. Cars didn’t fly (at least...
Philips and Fujifilm booths at SIIM 2019.

Philips and Fujifilm booths at SIIM 2019.

Feature | SIIM | September 06, 2019 | By Greg Freiherr
Pragmatism from cybersecurity to enterprise imaging was in vogue at the 2019 meeting of the Society of Imaging...