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

An artificial intelligence (AI) algorithm can both detect and show the position of fractures on wrist radiographs with a high level of sensitivity and specificity. | AuntMinnie | By Erik L. Ridley, staff writer

A deep learning software identified patients at an increased risk of long-term mortality based on data from a single chest radiograph, reported researchers of a new study published in JAMA Network Open. Matt O'Connor | Artificial Intelligence | Health Imaging

An AI tool improved the primary gross tumor contouring accuracy in patients with nasopharyngeal carcinoma (NPC), according to a March 26 study published in Radiology. The method may help treat patients with the rare form of cancer. Health Imaging | Matt O'Connor | Artificial Intelligence