A recent AI challenge in the advancement of automated digital breast tomosynthesis (DBT) yielded impressive results that promise to benefit the future of breast cancer detection.
Eight teams were tasked with developing algorithms capable of achieving high sensitivity for lesion detection on DBT. Using thousands of exams in numerous datasets, the teams developed algorithms that yielded excellent detection results, with the highest sensitivity recorded as 0.957 .
Details of the competition were shared recently in JAMA, where experts involved in the work suggest that such initiatives…
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