A new radiomics-based machine learning model can evaluate immunohistochemistry (IHC) features and CT images to predict the presence of thyroid nodules, according to a new study published in the American Journal of Roentgenology.

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.

A new three-dimensional (3D) MRI technique can measure strain in the heart without using potentially-damaging gadolinium, according to new research out of the University of Warwick in the U.K.

A new paper published in Neurophotonics details improvements made to near infrared spectroscopy (fNIRS)-based imaging that may enhance brain imaging research.

"These products are advertised as not harmful, and many e-cigarette users are convinced that they are just inhaling water vapor," said researchers in a recent article published by Radiology.

AI and other emerging technologies are soon to turn traditional nurses into information integrators. But nurses should be assured that technology will support their profession, not replace it.

Grey matter atrophy impacts localized brain regions that are functionally connected in patients with multiple sclerosis (MS), according to a new study published in Clinical Radiology. The results may serve as a framework for developing imaging biomarkers.

A team of researchers backed by a division within the National Institutes of Health (NIH) has created a novel MRI technique that can image a thinking brain 60-times faster than traditional methods.