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. 

Basic artificial intelligence is already incorporated into several premium echocardiography systems. This example is from the Philips Epiq, which can take 3-D datasets and the AI automatically identifies and segments the cardiac anatomy. It then extracts the best images for each of the standard views for an echocardiogram to eliminate variation between operators. The next generation echo AI software will pull in data from the electronic medical records and imaging data to offer suggested diagnoses.

Basic artificial intelligence is already incorporated into several premium echocardiography systems. This example is from the Philips Epiq, where the AI takes 3-D datasets and automatically identifies and segments the cardiac anatomy. It then extracts the best images for each of the standard echocardiogram views to eliminate variation between operators. The next generation echo AI software will pull in data from the electronic medical records and imaging data to offer suggested diagnoses.

Feature | Artificial Intelligence | May 07, 2019 | Ross Upton

Artificial Intelligence has a multitude of impacts on our daily lives, from recommending movies based upon your...

Ebit and DiA Imaging Analysis Partner on AI-based Cardiac Ultrasound Analysis
News | Cardiovascular Ultrasound | April 16, 2019

April 16, 2019 — DiA Imaging Analysis has partnered with the Italian healthcare IT company Ebit (Esaote Group), to...

DiA Imaging Analysis Introduces LVivo SAX Ultrasound Analysis Tool
Technology | Cardiovascular Ultrasound | April 09, 2019

April 9, 2019 — DiA Imaging Analysis announced the launch of LVivo SAX, a cardiac analysis tool that helps...

 Omega Medical Imaging Launches AI-enabled FluoroShield for Radiation Reduction
Technology | Radiation Dose Management | April 04, 2019

April 4, 2019 — The U.S. Food and Drug Administration (FDA) granted Omega Medical Imaging 510(k) clearance to offer...

FDA Proposes New Review Framework for AI-based Medical Devices
News | Artificial Intelligence | April 02, 2019 | Jeff Zagoudis, Associate Editor

April 2, 2019 — U.S. Food and Drug Administration (FDA) Commissioner Scott Gottlieb, M.D., announced Tuesday the...

Artificial Intelligence Can Improve Emergency X-ray Identification of Pacemakers
News | Pacemakers | March 29, 2019

March 29, 2019 — A research team from Imperial College London believes a new software could speed up the diagnosis...

Validation Studies Confirm High Accuracy of Novel HART AI-Driven Blood Tests
News | Blood Testing | March 19, 2019

March 19, 2019 — Prevencio Inc. announced data confirming the high accuracy of its...

Jennifer N. A. Silva, M.D., a pediatric cardiologist at Washington University School of Medicine in Saint Louis, Mo., describes “mixed reality” at ACC19 Future Hub.

Jennifer N. A. Silva, M.D., a pediatric cardiologist at Washington University School of Medicine in Saint Louis, Mo., describes “mixed reality” at ACC19 Future Hub.

Feature | Cardiac Imaging | March 17, 2019 | By Greg Freiherr

Virtual reality (VR) and its less immersive kin, augmented reality (AR), are gaining traction in some medical...

WVU cardiology chief Partho Sengupta, M.D., describes at ACC 2019 how artificial intelligence already helps cardiologists in echocardiography.

WVU cardiology chief Partho Sengupta, M.D., describes at ACC 2019 how artificial intelligence already helps cardiologists in echocardiography. Photo by Greg Freiherr

Feature | Cardiac Imaging | March 16, 2019 | By Greg Freiherr

Machine learning is already having an enormous impact on cardiology, automatically calculating measurements in...

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...

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