Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

VR shows promise as learning tool for early-career interventional radiologists

A virtual reality (VR) program designed for early-career interventional radiologists and medical students is being further developed for use in health simulations and medical emergencies, according to a report in the Journal of the American College of Radiology.

AcerMed goes belly-up, president points to lawsuit

AcerMed, an ambulatory EMR provider in Irvine, California, has gone out of business, and its president, Richard Younis, blames a lawsuit with MedInformatix for the company's demise.