Two short years after RadiologyBusiness.com added AI as a standalone beat, it seems the technology has burrowed into radiology like the Burmese python took to the Everglades. At first its presence was novel. Soon it became not uncommon. And now the infiltrator is in everyone’s head. It may as well be everywhere.

Convolutional neural networks (CNNs) can be trained to detect lung nodules on chest x-rays, according to a new study published in Artificial Intelligence in Medicine.

The reactor is smaller than most, operating at 2 megawatts, and requires less maintenance than larger reactors.

Although 90% of those surveyed said they stand by their choice of treatment, one-third did not have enough information about the side effects of radiation, chemotherapy or surgery.

The American College of Radiology (ACR) Data Science Institute (DSI) has created a new resource for radiology researchers: a full list of FDA-cleared AI algorithms related to medical imaging.  

Hitachi’s newest CT solution, the SCENARIA View 128, has received FDA clearance and is now being installed at hospitals throughout the United States. Jason Miller, Hitachi’s executive director of radiology products, and Richard Pacenta, Hitachi’s executive director of sales, spoke with us about this exciting new solution and what the company has planned for RSNA 2019 in Chicago.

Ensemble learning—the combination of multiple AI models into a single model with a single purpose—can lead to better overall results, according to new research published in Radiology: Artificial Intelligence.

Lunit, a medical software company based out of South Korea, has gained CE certification for its newest chest x-ray analysis solution, Lunit INSIGHT CXR.