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.

Imalogix Brings Fluoroscopy Capabilities to Radiation Dose Management Platform
Technology | Radiographic Fluoroscopy (RF) | August 06, 2018

August 6, 2018 — Imalogix, a provider of...

RSNA Launches Artificial Intelligence Initiatives for 2018 and Beyond
News | Artificial Intelligence | August 02, 2018

August 2, 2018 — The Radiological Society of North America (RSNA) recently announced that it will offer its members...

Videos | Artificial Intelligence | August 01, 2018

A discussion with Steve Jiang, Ph.D., director of the medical...

Artificial Intelligence Provides Faster, Clearer MRI Scans

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 (...

Guerbet, IBM Watson Health Partner on Artificial Intelligence for Liver Imaging
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...

Riverain Technologies Issued U.S. Patent for Vessel Suppression Technology
News | Computed Tomography (CT) | June 14, 2018

June 14, 2018 — Riverain Technologies announced that the United States Patent and Trademark Office (USPTO) has...

How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

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...

Zebra Medical Vision Unveils AI-Based Chest X-ray Research
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

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...

NEW! Exclusive Online Conference Coverage
Blog | Artificial Intelligence | June 04, 2018

Imaging Technology News (ITN) is expanding its online...

Intelerad Launches AI Initiative for Imaging Workflow Intelligence and Analytics
News | Artificial Intelligence | May 29, 2018

May 29, 2018 — Intelerad Medical Systems announced the launch of its...

SPECIAL SUPPLEMENT: How Enterprise Imaging Will Change Radiology
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...