New AI-based technology can identify patients at risk of a deadly heart attack years before it happens, according to new findings published in the European Heart Journal.

Why do some dogs hunt while others herd? The connection between brain structure and function is well-known in both humans and canines, but new research published in the Journal Neuroscience offers new insight into the relationship between innate brain wiring and learned behavior.

Researchers from the University of Oxford have created a new biomarker based off of coronary CT angiography (CCTA) images that can select patients at a high risk of heart attack five years before they occur.

Healthcare consumers are open to interacting with AI chatbots as long as the interaction involves general health information, not patient-specific advice or results from exams.

Machine learning models can be trained to extract immunohistochemical (IHC) characteristics from the imaging results of patients with suspected thyroid nodules, according to new research published in the American Journal of Roentgenology.

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.