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AI matches radiologist performance on mammo, DBT exams


A team led by Dr. Jung Hyun Yoon, PhD, from Yonsei University in Seoul found that AI has slightly higher pooled areas under the curve (AUC) than radiologists when it comes to mammograms and DBT exams. However, it also cautioned that more DBT studies are needed to enable a meaningful evaluation.


“Standalone AI for screening digital mammography performed as well as or better than individual breast radiologists on average reader outcomes,” Yoon and colleagues wrote. “[However], there was insufficient comparative evidence on AI for interpretation of DBT.”


While AI systems have been…



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