Artificial Intelligence

Canon Medical Systems USA announced Monday, Oct. 21, that the Advanced Intelligent Clear-IQ Engine (AiCE) for its ultra-high resolution CT scanner has gained FDA approval.

Researchers trained the machine by feeding it almost 230,000 digital mammography exams and more than 1 million images.

Researchers are urging radiological professionals to stay visible and active as their institutions incorporate artificial intelligence into their imaging practices. 

“The impact of this groundbreaking solution for patients and healthcare providers is substantial," said President Brian Fleming. 

New assistive technology developed by one Canadian university could serve as a “computational second opinion” for busy radiologists assessing difficult-to-diagnose collapsed lungs, experts said this week. 

UCSF’s Center for Intelligent Imaging will partner with Santa Clara, California-based NVIDIA to help build AI tools that can be used in everyday practice.

SubtleMR, as the product is called, is an image-processing software that deploys deep-learning algorithms to bolster images created by any scanner. 

Applied to head CT images, AI software can help speed diagnosis of ischemic stroke while also localizing large vessel occlusions when the latter are a culprit, according to a systematic review of studies published over a five-year period ending in February.

A convolutional neural network (CNN) could potentially help with the detection and segmentation of suspicious findings on prostate MRI scans, according to new findings published in Radiology.

As the use of artificial intelligence continues to proliferate in healthcare, radiologists may be opening themselves up to a whole new set of liability concerns.

Machine learning models using radiomics can help radiologists classify renal cell carcinomas (RCCs), according to new findings published in the American Journal of Roentgenology.

Numerous imaging societies, including the American College of Radiology (ACR) and RSNA, have published a new statement on the ethical use of AI in radiology.