A Comprehensive AI-Based Approach in Classifying Breast Lesions: Focusing on Improving Pathologists' Accuracy and Efficiency.

Maryam Tahir¹, Yan Hu¹, Himani Kumar¹, Nada Shaker¹, David Kellough¹, Shaya Goodman², Manuela Vecsler², Giovanni Lujan¹, Wendy L Frankel¹, Anil V Parwani¹, Zaibo Li³

¹Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH.

²Ibex Medical Analytics, Tel Aviv, Israel.

³Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH. Electronic address: Zaibo.Li@osumc.edu.

PubMed DOI

Abstract

BACKGROUND: Accurate classification of breast lesions is essential for effective clinical decision-making and patient management. In this study, we evaluated an artificial intelligence (AI) solution to classify whole slide images (WSIs) of breast lesions. METHODS: We analyzed a cohort of 104 breast cases, including 20 invasive carcinomas, 4 microinvasive carcinomas, 15 ductal Carcinoma in situ (D…

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