4 areas AI must excel in to improve women's imaging

For AI to become clinically feasible in women's imaging, it must excel in the areas of performance, time, workflow and cost, according to an opinion piece published online Feb. 19 in the American Journal of Roentgenology. The adoption of any new technology must achieve certain metrics to become viable and quantify its impact, wrote authors Ray C. Mayo, MD, and Jessica W. T. Leung, MD, each with the department of diagnostic radiology at The University of Texas MD Anderson Cancer Center in Houston. "As patients, physicians, hospitals, and insurance companies look for value, AI must earn a role in medical imaging," Mayo and Leung wrote. Below are four areas of women's imaging AI must impact in order to become clinically feasible: Improving the performance of mammography is the most important condition AI must achieve to be useful in women's imaging, according to the authors. Without this there is no interpretative purpose for the technology.