Artificial intelligence, machine learning find role in radio
Artificial intelligence and machine learning capabilities are beginning to make an impact within radiology, as vendors start rolling out initiatives to assist professionals in making diagnoses.

The radiology profession is ripe for technology—as radiologists deal with an increasing number of images and bear more responsibility in the clinical process.

For example, radiologists now are being called upon to determine what course of treatment might be less invasive, thus reducing cost, patient recovery times and the risk of complications. Or they typically are asked to assess the rate of progression of a disease such as cancer, to determine what course of treatment is most appropriate....