The American College of Radiology Data Science Institute (ACR DSI) announced this week that it is co-sponsoring a National Institute of Biomedical Imaging and Bioengineering (NIBIB) workshop about artificial intelligence (AI) in medical imaging.

Guerbet announced Tuesday, July 10, that it has signed an exclusive agreement to collaborate with IBM Watson Health and develop artificial intelligence (AI) software solutions that help detect, diagnose and treat liver cancer.

The American College of Radiology Data Science Institute (ACR DSI), which first launched in May 2017, has started releasing use cases from its TOUCH-AI library for industry feedback. A final release is scheduled for later this year.

An artificial intelligence (AI) system defeated a team of 15 doctors, 2-0, in two rounds of a competition that looked at the ability to diagnose brain tumors and predict the expansion of brain hematomas.

A team of researchers from Singapore and the United States wrote about how their recent work with artificial intelligence (AI) could help healthcare providers with image analysis, sharing their analysis in a study published by Nature Medicine.

2018 has been an especially busy year for imaging leaders, with technology evolving at a rapid rate and healthcare policies continuing to change with the times. At AHRA 2018 in Orlando, many of those leaders will once again unite to share ideas, learn, network and have a little bit of fun. AHRA’s president, Angelic Bush, spoke with RBJ about some of the biggest trends in radiology right now and what she and her colleagues have planned for the big show in Orlando.

Reenita Das, a partner and senior vice president of healthcare and life sciences at Frost & Sullivan, wrote a new column examining the efforts being made by China and Israel to become leaders in the medical imaging artificial intelligence (AI) market.

Artificial intelligence (AI) and machine learning often get lumped together, but as the authors of a new Radiology commentary explained, the two terms are far from interchangeable. While machine learning is a specific field of data science that gives computers the ability to “learn” without being programmed with specific rules, AI is a more comprehensive term used to describe computers performing intelligent functions such as problem solving, planning, language processing and, yes, “learning.”