Artificial Intelligence

"Using this new tool may uncover the characteristics of different types of clots that were previously unrecognized by humans," researchers wrote in the journal eLife.

London-based imaging tech company Behold.ai received the green-light for its red dot “instant triage” platform.

The conference is moving "full steam ahead as scheduled" for March 9-13 in Orlando, but the list of vendors pulling out—which now includes Amazon and Siemens Healthineers—continues to grow amid coronavirus fears.

This most recent approval marks the fourth of its kind for Tel Aviv, Israel-based Aidoc.

The new approach can diagnose brain tumors similarly to humans, but in a fraction of the time.

It’s no surprise that AI dominated the landscape this past year, but there were still a number of important stories that will likely become trending topics as radiology continues to evolve.

More than 6.1 million children were diagnosed with ADHD in 2016. Despite these numbers, there is no single test or imaging exam that can confidently diagnose a patient.

The novel method uses a deep neural network to improve fluorescence lifetime imaging, which allowed scientists at Rensselaer Polytechnic Institute to view molecular-level interactions within cells.

A new AI algorithm developed by researchers at Case Western Reserve University can predict which malignant breast cancers will progress and benefit from additional treatment.

A team of researchers from Taiwan performed a first-of-its-kind external validation of four AI algorithms used to detect pulmonary nodules in chest x-rays, sharing their results in Clinical Radiology. The classifiers could help radiologists improve medical imaging care as a whole.

Engineers from Duke University have harnessed the power of machine learning to increase the resolution of optical coherence tomography (OCT) imaging, according to an Aug. 19 study published in Nature Photonics.

Canon Medical Systems USA has received FDA approval for its deep convolutional neural network (DCNN) image reconstruction technology for CT scanning.