Radiologists, medical students and surgeons all agree that AI should be incorporated into diagnostic radiology, but for the most part their perceptions of the technology are drastically different.

When we go to sleep at night, our brains are wiped clean of harmful toxins. Boston-area researchers now have the evidence to prove it, thanks in part to high-resolution imaging.

The CDC has tallied more than 2,000 cases of the illness across the U.S. so far, including 39 deaths.

Radiologists from the Netherlands believe deep learning can significantly impact cardiac MRI analysis in the not so distant future, sharing their thoughts in a piece published in the American Journal of Roentgenology.

Nearly one in five inductions of labor lead to a required emergency C-section, but current methods to predict such events are largely subjective with low predictive accuracy.

No medical specialty outside of radiology and cardiology educate their trainees in image interpretation enough to justify nonradiologist physicians reading studies in the clinical setting, according to new research published in the American Journal of Roentgenology.

Deep learning can identify cancerous and precancerous esophagus tissue on digitized pathology slides, opening the door for AI to alter the digital pathology landscape.

An Australian researcher found labeling problems, some "significant," within two large, publicly available medical imaging datasets.

The Food & Drug Administration issued a recall on Philips’ Forte Gamma Camera System Monday, Nov. 4, saying it could cause serious injury or possibly death.  

More screen usage can negatively impact the development of children’s brains, particularly regions associated with language development, according to a recent study published in JAMA Pediatrics.