Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

RSS icon

AI improves detection of severe CAD in stress echocardiograms

Advanced algorithms can lead to significant improvements in agreement among specialists, researchers found. 

December 17, 2021
Cheryl Petersilge, MD, MBA, with the department of regional radiology at the Cleveland Clinic, examined enterprise imaging—and how radiologists must integrate and collaborate with other departments. Her clinical perspective clinical perspective was published online in the October issue of the American Journal of Roentgenology.

Cardiologs puts its AI model up against the Apple Watch—and wins

The company reported that its deep neural network led to improved sensitivity and fewer unclassified findings. 

November 16, 2021
artificial-intelligence-3382507_960_720.jpg

AI model classifies patients by aortic stenosis severity, could improve AVR timing

The classifier was developed using imaging data from nearly 2,000 patients. 

September 15, 2021

New AI model predicts heart failure hospitalizations

Detecting heart failure issues early on, one researcher observed, can improve patient care and hospital efficiency at the same time. 

August 23, 2021
istock-671893136.jpg

Cardiovascular imaging specialists raise $33M to ramp up use of AI platforms

The Blue Venture Fund, a collaboration of dozens of Blue Cross Blue Shield companies, led the funding round. 

August 17, 2021

AI model evaluates ECG data as well as cardiologists

The team's convolutional neural network was trained on data that is readily available at most facilities. 

August 5, 2021
Approved

Medtronic gains FDA approval for AI models focused on cardiac monitoring

The advanced algorithms address two areas known for causing false ICM alerts: atrial fibrillation and asystole.

July 28, 2021
People

Want a more accurate AI model for predicting CVD? Feed it social data

Researchers stressed that clinicians have an opportunity to improve their machine learning models by providing data on specific social and environmental factors. 

July 27, 2021
Displaying 161 - 168 of 202

Around the web

Health Imaging
New imaging protocols proposed to curb rise of cardiovascular infections

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.

Radiology Business
What does radiology have to do with climate change?

Kate Hanneman, MD, explains why many vendors and hospitals want to lower radiology's impact on the environment. "Taking steps to reduce the carbon footprint in healthcare isn’t just an opportunity," she said. "It’s also a responsibility."

Design by Adaptive Theme
Trimed Popup
Trimed Popup