Standalone AI excels at reading digital mammograms, but how does it hold up with DBT exams?
In an editorial accompanying the study’s results, Anabel Scaranelo, MD, assistant professor in the breast imaging section of the Department of Medical Imaging at the University of Toronto, notes that AI in breast cancer screening settings can address a number of shortcomings in the field of radiology, but that the field is not ready to let such technology freely fly just yet.
“In breast imaging, greater than 99% of the more than 20 million mammographic screenings performed in the United States each year are normal,” Scaranelo noted. “Hence, having a standalone AI unit that can…
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