Current Alzheimer’s disease research is primarily focused on symptoms, but a recent study proposed a new framework for understanding the disease based on biological brain changes and biomarkers.

Facebook's most recent data scandal had lawmakers grilling founder and CEO Mark Zuckerberg in a Senate hearing April 11 and presents bioethics lessons for healthcare leaders who are creating AI models for clinical decision making

W. Art Chaovalitwongse, PhD, from the University of Arkansas, discussed using radiomics versus deep learning-based features to predict clinical outcomes from medical imaging data.

Elad Walach, founder and CEO of the medical imaging company Aidoc, is one of many in the industry who believes radiology will be transformed by artificial intelligence (AI) sooner rather than later. He went into detail on the topic in a new column published in Forbes.

Consumers are most comfortable with artificial intelligence (AI) when its used in the healthcare when compared to banking or retail, according to a survey conducted by SAS.

Radiology supercomputer “Project Clara” could improve imaging quality while speeding up the detection of fatal diseases like cancer and heart failure, Forbes has reported.

Primary care physicians may now be able to identify moderate to severe levels of retinopathy in adult patients with diabetes using a recently FDA-approved artificial intelligence (AI) imaging device.

Contrast-enhanced subharmonic imaging (SHI)—a new technique for imaging of microbubble ultrasound contrast agents—detected prostate cancers not identified by traditional MRI, according to a recent study presented at the American Roentgen Ray Society (ARRS) 2018 Annual Meeting.