How Artificial Intelligence Is Driving Changes in Radiology

Described simply, artificial intelligence (AI) is a field that combines computer science and robust data sets, to enable problem-solving. The umbrella term encompasses the subfields of machine learning and the more recently developed deep learning, which itself is a subfield of machine learning. Both use AI algorithms to create expert systems that make predictions or classifications based on input data. The first reports of AI use in radiology date back to 1992 when it was used to detect microcalcifications in mammography1 and was more commonly known as computer-aided detection. It wasn't until around the mid-2010s that it really started to be seen as a potential solution to the daily challenges, such as volume burden, faced by radiologists.