Clinical
As regulatory oversight for predictive decision support evolves, certain best practices can help health systems get the most from machine learning-powered CDS models.
Three experts from different areas of the health IT field discuss how artificial intelligence is going to play a larger role in the year ahead.
A study published in Nature suggests its model was able to spot cancer in de-identified screening mammograms with fewer false positives and false negatives than experts.
An interview with James Patterson, CIO, NSW Health Pathology.
As artificial intelligence and robotic process automation are more widely deployed, they will help rehumanize medicine by allowing doctors to focus less on paperwork and administrative functions, and more on patient care.
The NYU School of Medicine’s technology enables radiologists to see images the way they currently see them, then, if they deem necessary, ask the AI for its opinion. Results to date are impressive.
Georgia’s largest health care system will work with the Alphabet subsidiary on several new initiatives, starting with deep analysis of existing medication and lab ordering patterns at Emory.
The news is being touted by IDx, makers of the first medical device approved by FDA to use artificial intelligence to assess diabetic retinopathy.
The update will help health systems coordinate care, with a specific focus on delirium, including sedation and pain medications, breathing machines and mobilization.