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.
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...
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...
News | Magnetic Resonance Imaging (MRI) | September 25, 2019
September 25, 2019 – Cardiac magnetic...
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Image courtesy of Pixabay
Blog | Artificial Intelligence | March 02, 2020
Artificial intelligence may be impor
News | Ultrasound Imaging | September 23, 2019
September 23, 2019 — Fujifilm SonoSite Inc. and the Allen Institute of...
News | Treatment Planning | September 23, 2019
September 23, 2019 — The first-ever patient radiation...
News | Breast Density | September 20, 2019
September 20, 2019 — Densitas Inc. announced it has won a procurement of its densitas densityai software for deployment...
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Graphic courtesy of Pixabay
Blog | Electronic Medical Records (EMR) | February 02, 2020
The electronic transmission of patient images, when done cost effectively, efficiently and instantaneously, can help
News | Image Guided Radiation Therapy (IGRT) | September 16, 2019
September 16, 2019 — At the 2019 American Society for...
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...
News | Computer-Aided Detection Software | September 09, 2019
September 9, 2019 — iCAD Inc. announced MedTech Breakthrough, an independent organization that recognizes the top...
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Graphic courtesy of Nuance Communications
Blog | Electronic Medical Records (EMR) | January 23, 2020
Approaches to gain widespread use of electronic transmission of patient images may be as varied as the needs and circ
News | Neuro Imaging | September 09, 2019
September 9, 2019 — Imaging Biometrics LLC (IB), in collaboration with the Medical College of Wisconsin (MCW), has...
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...
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....
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The latest version of the universal viewer shown by GE Healthcare at RSNA 2019 incorporates artificial intelligence. Image courtesy of GE Healthcare
Blog | Artificial Intelligence | January 12, 2020
After languishing for years,...
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...
Sudhen Desai, M.D.
Feature | Pediatric Imaging | September 04, 2019 | By Jeff Zagoudis
Burnout has become a popular buzzword in today’s business world, meant to describe prolonged periods of stress in the...
News | Artificial Intelligence | September 04, 2019
September 4, 2019 — Global Diagnostics Australia (GDA), a subsidiary of the Integral Diagnostics Group (IDX), has...
Image by Gerd Altmann from Pixabay
Blog | Artificial Intelligence | September 04, 2019
Radiology’s history dates back to 1895 when...
Workflow of radiomics analysis for IHC indicators. Yellow lines denote area of analysis; red lines denote ROI for radiomic features extraction. X = original image, L = low-pass filter, H = high-pass filter. Image courtesy of Jiabing Gu, et al.
News | Artificial Intelligence | September 03, 2019
September 3, 2019 — Researchers have validated a first-of-its-kind...
Surgical ultrasound probes extend the capability of Hitachi’s Arietta 70 system. Each probe can be sterilized to allow safe scanning inside the human body. Picture courtesy of Hitachi Healthcare Americas
Sponsored Content | Blog | Radiology Imaging | August 30, 2019
The clinical needs of those who live in rural America and small communities are both simple and complex. A physician...
News | Ultrasound Imaging | August 23, 2019
August 23, 2019 — Exo Imaging Inc. announced a $35 million Series B financing round for its high-performance...
