Health Imaging August 28, 2024
A new analysis reveals how artificial intelligence systems can improve interval cancer detection in mammographic screening settings, often spotting lesions that human readers miss.
According to the study’s results, a commercially available AI system detects up to 25% of interval cancers initially missed by radiologists. What’s more, the algorithm correctly localized three out of four of the interval cancers it detected.
Senior author of the study Professor Fiona Gilbert, MD, of the University of Cambridge in the U.K., and colleagues published their findings in the journal Radiology.
“Artificial intelligence systems can be used to identify interval breast cancers, although the localizations are not always accurate,” the group wrote. “AI replacement of one human reader could reduce the...