In a new proof-of-concept study led by Dr. Mark Walker at the uOttawa Faculty of Medicine, researchers are pioneering the use of a unique AI-based deep learning model as an assistive tool for the rapid and accurate reading of ultrasound images.

There’s still a long way to go with both research into Alzheimer’s disease and AI tools to help detect it, but deep-learning approaches continue to show promise. Dave Pearson | Research | AI in Healthcare

An artificial intelligence (AI) algorithm that analyzed free text in patient reports was better than existing risk models in predicting which symptomatic individuals were actually experiencing a transient ischemic attack. | AuntMinnie | Erik L. Ridley, staff writer

AI and machine learning can help physicians rapidly and accurately diagnose diseases—but deployment has been a challenge. Discover how new edge solutions simplify computer vision and data analytics. By Robert Moss, insight.tech

Smart technologies are often touted as the answer to some of cardiology’s greatest challenges in patient care and practice. Randy Young | Artificial Intelligence | AI in Healthcare

Artificial and augmented intelligence are driving the future of medical imaging. Tectonic is the only way to describe the trend. And medical imaging is at the right place at the right time. Mary C. Tierney, MS | Artificial Intelligence | AI in Healthcare

A deep-learning algorithm that analyzed FDG-PET was able to differentiate between normal cognition and dementia by Wayne Forrest, AuntMinnie.com staff writer