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. 

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Q&A: Wash U's Mark Anastasio on building nation’s 2nd doctoral program in imaging science

Washington University in St. Louis is set to become the second institution with a doctoral program dedicated to imaging science, with its inaugural class beginning in the fall. Mark Anastasio, PhD, the director of the new program, spoke with Health Imaging about the state of imaging education and incorporating artificial intelligence (AI) into its curriculum.

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.