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. Specifically this page is for cardiac related AI technology integration for imaging appropriate use criteria (AUC), clinical decision support, predictive analytics, workflow improvements and automated diagnostics. 

Collage depicts broad applications in machine learning or deep learning (DL) that can be applied to advanced medical imaging technologies. Size of the liver and its fat fraction — 22 percent — (top middle in collage) can be quantified automatically using an algorithm developed by Dr. Albert Hsiao and his team at the University of California San Diego. This and other information that might be mined by DL algorithms from CT and MR images could help personalize patients’ treatment. Collage provided by Albert Hsiao

Feature | Cardiac Imaging | March 12, 2019 | By Greg Freiherr

Computed tomography (CT) and magnetic resonance imaging (MRI) scans are chock full of information that might be used...

Podcast | Cardiac Imaging | March 12, 2019

Smart algorithms could make cardiology “more fun and less burdensome,” said ...

New Consensus Document Explores Ethical Use of AI in Radiology
News | Artificial Intelligence | March 05, 2019 | Jeff Zagoudis, Associate Editor

March 5, 2019 — The American College of Radiology (ACR) is one of seven professional societies behind a new...

RSNA Offers First U.S. Spotlight Course on Artificial Intelligence
News | Artificial Intelligence | March 05, 2019

March 5, 2019 – The Radiological Society of North America (RSNA) announced an expansion of its...

Dictation by radiologist using Nuance's technology. More powerful, intelligent voice operated systems were demonstrated at HIMSS 2019 as a way to help reduce physician burn out when using EHRs.

Dictation by radiologist using Nuance's technology. More powerful, intelligent voice operated systems were demonstrated at HIMSS 2019 as a way to help reduce physician burn out when using EHRs. 

Feature | HIMSS | March 05, 2019 | Alex Green, Signify Research

Here are some takeaway insights on key technologies highlighted at the ...

Podcast | Cardiac Imaging | March 04, 2019

Technology is reshaping not only our understanding of cardiac disease but what motivates patients to visit doctors....

ACC Future Hub

Presenter delivers pitch at last year’s ACC Future Hub. This year during ACC.19, entrepreneurs will pitch software and hardware specific to cardiology in two categories– artificial intelligence and digitally enabled medical devices. (Image courtesy of ACC)

Feature | Artificial Intelligence | March 01, 2019 | By Greg Freiherr

Immersed in a Shark Tank-like atmosphere, entrepreneurs will pitch ideas for new technologies and services at ...

What is Next in Healthcare IT?
News | Information Technology | February 28, 2019

February 28, 2019 — The Healthcare Information and Management Systems Society (HIMSS) shared insights on what’s next...

Canon Medical Introduces Deep Learning-Based CT Image Reconstruction
News | Computed Tomography (CT) | February 27, 2019

February 27, 2019 — Canon Medical Systems recently introduced AiCE (Advanced intelligent Clear IQ Engine), a...

Philips Introduces IntelliSpace Portal 11 at ECR 2019
Technology | Advanced Visualization | February 27, 2019

February 27, 2019 — Philips announced the launch of IntelliSpace Portal 11, the latest release of the company’s...

IBM and Broad Institute Launch AI Initiative for Cardiovascular Disease Risk Prediction
News | Cardiac Diagnostics | February 15, 2019

February 15, 2019 — IBM Watson Health and the Broad Institute of MIT and Harvard are launching a research...

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