Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

By Thomas Schaffter, D. Buist, Christoph I. Lee, Yaroslav Nikulin, Dezso Ribli, Yuanfang Guan, William Lotter, Zequn Jie, Hao Du, Sijia Wang and 63 more. 2020

345 citations recorded by the source corpus.

This diagnostic accuracy study evaluates whether artificial intelligence can overcome human mammography interpretation limits with a rigorous, unbiased evaluation of machine learning algorithms.

Subfields: Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging