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AI can help mammography in middle-income countries



In his presentation, Dr. Erkin Aribal from Acibadem University in Istanbul showed results of a national study suggesting AI could reduce interval cancer rates, in case AI is applied as a second or third independent reader.

“Middle-income countries have limited human and financial resources for a screening program,” Aribal said. “AI as a second reader can be beneficial for reducing interval cancers and contribute to insufficiencies.”

Interval breast cancers tend to have a less favorable prognosis than screen-detected cancers and are more likely to be of higher grade and stage. One…


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Radiology AI
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