Machine learning (ML) algorithms could potentially be trained to alter mammography findings, tricking radiologists into make an incorrect diagnosis, according to new research published in the European Journal of Radiology.

A new AI system is able to identify pneumothorax more accurately than many radiologists.

Machine learning models can tell us a lot about how patients sleep, according to new research published in PLOS One. And it’s much less obtrusive than prior methods.

Medical imaging professionals and radiation experts are in a position to play a significant role as AI technologies continue to evolve, according to a new commentary published in the Journal of Medical Imaging and Radiation Sciences.

The Bipartisan Policy Center (BPC) hosted an open discussion on the future of AI on Wednesday, Oct. 16, in Washington, D.C. Topics included AI’s impact on the economy and how public policies may change in the near future as a response to these evolving technologies.

ABB, an international technology company, has opened its first global healthcare research hub in Houston, Texas, to demonstrate some of its robotic solutions.

Researchers have developed a new blood test that could lead to improved brain cancer diagnoses, according to new findings published in Nature Communications.

The use of AI continues to rise throughout the United States, according to a new industry report published by RELX. The report included feedback from more than 1,000 senior-level executives representing seven industries: healthcare, science/medical, government, insurance, legal, banking and agriculture.

AI technologies are making a significant impact on the health of patients throughout Asia, according to a new report from MIT Technology Review Insights.