AI performs comparably to human readers of mammograms

Using a standardized assessment, researchers in the UK compared the performance of a commercially available artificial intelligence (AI) algorithm with human readers of screening mammograms. Results of their findings were published in Radiology, a journal of the Radiological Society of North America (RSNA).

Mammographic screening does not detect every breast cancer. False-positive interpretations can result in women without cancer undergoing unnecessary imaging and biopsy. To improve the sensitivity and specificity of screening mammography, one solution is to have two readers interpret every mammogram.

Reference: Yan Chen, Adnan G. Taib, Iain T. Darker, Jonathan J. James, Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme, Radiology (https://doi.org/10.1148/radiol.223299)