8 key clinical applications of machine learning in radiology

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains the use of artificial intelligence (AI) algorithms to help address health disparities and the rise of healthcare consumerism. Machine Learning

Artificial intelligence (AI) and machine learning often get lumped together, but as the authors of a new Radiology commentary explained, the two terms are far from interchangeable. While machine learning is a specific field of data science that gives computers the ability to “learn” without being programmed with specific rules, AI is a more comprehensive term used to describe computers performing intelligent functions such as problem solving, planning, language processing and, yes, “learning.”

Triple therapy: ‘Acceptable’ safety, fewer strokes for AFib patients after PCI

A triple therapy approach of warfarin, clopidogrel and aspirin substantially reduces the risk of ischemic stroke and stent thrombosis compared to dual antiplatelet therapy (DAPT), according to a meta-analysis of patients with atrial fibrillation (AFib) undergoing coronary stenting. However, the three-medication strategy is associated with a higher bleeding risk.