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AI shows perfect performance in invasive lobular carcinoma



A team led by Dr. Tali Amir from Memorial Sloan Kettering Cancer Center in New York City found that their tested system demonstrated perfect accuracy in deeming imaging findings as suspicious or probably malignant.

“As AI evolves, the ability of a system to detect potential areas of interest on ultrasound for radiologist review may prove useful and help to decrease interval cancers in the setting of ILC,” Amir and co-authors wrote.

ILC can be challenging to detect since they show a variety of appearances on imaging. Previous studies found that for detecting these cancers, mammography…


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Radiology AI
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