AI Assistance May Boost Accuracy of HER2-Low Scoring for Breast Cancers

AI Assistance May Boost Accuracy of HER2-Low Scoring for Breast Cancers

(MedPage Today) -- CHICAGO -- Artificial intelligence (AI) assistance appeared to enhance pathologists' accuracy in identifying HER2-low or -ultralow expression in breast cancer tissue, a global study showed, which could cut down on missed opportunities...

AI tool could help doctors ID breast cancers vulnerable to Enhertu

Tumors with low- and ultra-low levels of a protein called HER2 are treatable with Enhertu, but harder to identify. New research shows AI can improve diagnosis.

AI Transforms HER2-Low, HER2-Ultralow Breast Cancer Diagnostics for Pathologists

AI-assisted training dramatically reduced HER2-null overscoring and improved sensitivity in HER2-low and HER2-ultralow breast cancer cases.

AI Boosts Pathologist Accuracy in HER2-Low Breast Cancer

AI-assisted training notably improved pathologist accuracy in HER2-low breast cancer, reducing misclassification and potentially enabling more patients to access vital therapies.

AI Can Boost Accuracy When Classifying HER2-Low, HER2-Ultralow Breast Cancers, Findings Show

Assistance from artificial intelligence can potenially increase the number of patients eligible for treatment for HER2-low breast cancers.