Source: New framework pushes radiology toward fully automated triage system for thyroid cancer

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

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

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