Australia launches new program to equip nurses and midwives with digital health skills Source: Australia launches new program to equip nurses and midwives with digital health skills

Building a hospital in 10 days: Footage shows rapid construction of new Wuhan hospital Source: Building a hospital in 10 days: Footage shows rapid construction of new Wuhan hospital

Swiss researchers have used cinematic rendering to create photorealistic images of head CT and conebeam CT scans. By Abraham Kim, AuntMinnie.com staff writer

Preparing IT architecture for artificial intelligence (AI) and business intelligence and analytics in radiology requires a broad strategic architectural perspective and governance that often have been lacking at healthcare institutions, according to Dr. Paul Chang of the University of Chicago. AuntMinnie.com

The widespread adoption of artificial intelligence (AI) in radiology could be delayed by significant architectural shortcomings in current healthcare IT infrastructure, according to Dr. Paul Chang of the University of Chicago. He spoke on Thursday in a webinar held by the Society for Imaging Informatics in Medicine (SIIM). AuntMinnie.com

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

New research published in JAMA Neurology has found chronic active lesions, which appear as dark rimmed spots on brains scans, to be associated with severe multiple sclerosis (MS). Matt O'Connor | Advanced Visualization | Health Imaging

New research suggests screening kids for cervical spine injury (CSI) risk factors could reduce unnecessary CT scans by 50%, significantly limiting radiation exposure. Matt O'Connor | Imaging Informatics | Health Imaging

A team from Massachusetts General Hospital (MGH) has created a novel contrast agent for MRI exams that may be safer than those requiring gadolinium. Matt O'Connor | Diagnostic Imaging | Health Imaging

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