Artificial Intelligence

The findings suggest AI systems can be trained to detect and grade cancer in prostate needle biopsy samples with an accuracy rate equal to that of prostate pathology experts.

Health Catalyst aims to take learnings from the U.S. and work with healthcare systems in the APAC region to reduce waste using data analytics, says Farhana Nakhooda, the company's SVP of healthcare and life sciences.

The new SERI-NTU Advanced Ocular Engineering (STANCE) Laboratory is a collaboration between NTU, SNEC and SERI. 

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.

The pharma company will work with MIT's School of Engineering to establish an education program focused on developing new machine learning approaches to drug development and more.

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.

Forward-looking provider organizations are looking to tap into the benefits of deep neural networks and other forms of data-driven analysis.

Automated sig translation system created time savings of 34 hours per month for clinicians, translating into about $11,000 in recaptured nursing productivity over 12 months. Further, 30-day readmission rate fell from 6.2% to 5.5%.