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
Thumbnail

Automated CT scoring system accurately predicts prognosis in stroke patients

The study used non-contrast CT and CT perfusion imaging to analyze agreement between an automated reader and human radiologists with differing experience levels.

Thumbnail

AI improves detection of severe CAD in stress echocardiograms

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

Thumbnail

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. 

Thumbnail

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

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

Thumbnail

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. 

Thumbnail

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. 

Thumbnail

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. 

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.

Displaying 225 - 232 of 270

Around the web

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

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.