August 6, 2018 — Imalogix, a provider of...
Artificial Intelligence
This channel includes news and new technology innovations for artificial intelligence 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 | August 02, 2018
August 2, 2018 — The Radiological Society of North America (RSNA) recently announced that it will offer its members...
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News | Artificial Intelligence | May 29, 2018
Many say it is very difficult or impossible to go through the large volumes of data to pick out what is clinically...
Videos | Artificial Intelligence | August 01, 2018
A discussion with Steve Jiang, Ph.D., director of the medical...
A new artificial-intelligence-based approach to image reconstruction, called AUTOMAP, yields higher quality images from less data, reducing radiation doses for CT and PET and shortening scan times for MRI. Shown here are MR images reconstructed from the same data with conventional approaches, at left, and AUTOMAP, at right. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
News | Artificial Intelligence | July 17, 2018
July 17, 2018 — A research team with funding from the National Institute for Biomedical Imaging and Bioengineering (...
News | Clinical Decision Support | July 10, 2018
July 10, 2018 — Guerbet announced it has signed an exclusive joint development agreement with IBM Watson Health to...
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Philips’ Illumeo supports the comparison of current and prior patient images. (Screen shots are from the ITN video “How Artificial Intelligence Is Changing Radiology.”)
Blog | Artificial Intelligence | May 01, 2018
Patients benefit when providers and technology work together.
News | Computed Tomography (CT) | June 14, 2018
June 14, 2018 — Riverain Technologies announced that the United States Patent and Trademark Office (USPTO) has...
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News | Artificial Intelligence | January 25, 2018
ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence advances at the Radiological...
The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.
News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
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Image courtesy of Pixabay
Blog | Enterprise Imaging | April 27, 2017
Radiologists may not consider imaging systems to be at high risk of cyber attack. But it is for exactly this reason...
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital
Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue...
Videos | Patient Engagement | June 04, 2018
At SIIM 2018, Alexander J. Towbin, M.D., Radiologist, Department of Radiology and Medical Imaging, Neil D. Johnson...
Blog | Artificial Intelligence | June 04, 2018
Imaging Technology News (ITN) is expanding its online...
News | Artificial Intelligence | May 29, 2018
May 29, 2018 — Intelerad Medical Systems announced the launch of its...
Sponsored Content | News | Artificial Intelligence | May 29, 2018
Many say it is very difficult or impossible to go through the large volumes of data to pick out what is clinically...
Sponsored Content | Videos | Artificial Intelligence | May 25, 2018
Change Healthcare is looking at how to apply AI into enterprise imaging by using algorithms to change data into...
Podcast | Artificial Intelligence | May 25, 2018
Synergy is the key to success in enterprise imaging, according to...
