Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis.
作者： Emily F Conant , Alicia Y Toledano , Senthil Periaswamy , Sergei V Fotin , Jonathan Go
关键词: Recall rate 、 Artificial intelligence 、 Sensitivity (control systems) 、 Reading (process) 、 Machine learning 、 Computer science 、 Artificial Intelligence System 、 Digital Breast Tomosynthesis
摘要: Reading times were significantly reduced, and sensitivity, specificity, recall rate improved in a nonclinical reader study when an artificial intelligence system was utilized concurrently with ...
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