Machine-learning analyses of satellite images can help identify communities needing healthcare services in some of the most remote parts of the planet. Dave Pearson | Connected Care | AI in Healthcare

A machine learning method trained on synthetic breast ultrasound elastography images accurately classified tumors when applied to real-world images.Matt O'Connor | Artificial Intelligence | Health Imaging

Now, engineers at the Boston University Photonics Center have developed a new device, small enough for a patient to wear inside the machine. By Michael Irving, New Atlas

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

The rapid development of artificial intelligence (AI) technology for radiology applications has led to concerns over how to ensure its safe and appropriate use. In response, seven prominent. By Erik L. Ridley, AuntMinnie staff writer

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

AI algorithm was able to accurately identify chest radiographs that contain abnormal findings, enabling automated triage of these exams so they can be interpreted sooner by radiologists. By Erik L. Ridley, AuntMinnie staff writer