Zaibo Li

Abstract 5470: Low-magnification deep learning model for rapid HER2 status prediction from H&E whole-slide images.

Ziyu Su, Abdul Akbar, Usama Sajjad, Sansar Babu Tiwari et autres

Abstract Background: HER2 (human epidermal growth factor receptor 2) overexpression is a pivotal biomarker for breast cancer prognosis and targeted therapy selection. Conventional assessment requires immunohistochemistry (IHC) and/or in situ hybridization (ISH), which are costly, time-consuming, and constrained by limited tissue and …

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38 SOX17 Expression in Angiosarcoma and Epithelioid Hemangioendothelioma: An Immunohistochemical Study of 48 Cases

Elsayed Ibrahim, Yaohong Wang, Shaymaa Hegazy, Peter N. Kundert et autres

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1016 SOX17 Expression in Germ Cell Tumors

Wenfang Liu, Maryam Tahir, Anil Vasdev Parwani, Zaibo Li

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503 AI-Assisted Breast Biopsy Interpretation in a Two-Reader Crossover Study: Accuracy, Efficiency, and Stain-Contingent Signals

Hita Moudgalya, Himani Kumar, Anil Parwani, David A. Kellough et autres

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515 AIxTHY Digital Cytopathology Platform Improves Diagnostic Accuracy and Reduces Nondiagnostic Interpretations in Thyroid Fine-Needle Aspiration Cytology

Swati Satturwar, Zaibo Li, Chi Shun Yang, Wei‐Lei Yang et autres

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437 Bridging Histology and Genomics: Artificial Intelligence (AI) Predicts Colorectal Cancer Genetic Mutations from H&E Images

Abdul Akbar, Usama Sajjad, Ashish Manne, Wendy L. Frankel et autres

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Utilization of Key Morphologic and Molecular Prognostic and Predictive Parameters in Endometrial Malignancies: A Survey of Gynecologic Pathologists

Saloni Walia, Ekta Jain, Shivani R. Kandukuri, Rania M. Bakkar et autres

BackgroundEndometrial carcinoma is a common gynecological malignancy with rising incidence rates. While histopathological staging remains a cornerstone for treatment decisions, its limitations in addressing tumor heterogeneity and molecular complexity have led to the incorporation of molecular subtypes in recent endometrial carcinoma guidelines.ObjectiveTo …

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Transforming breast cancer care: the critical role of digital pathology and artificial intelligence in biomarker testing and risk stratification

Maryam Tahir, Yan Hu, Anil Vasdev Parwani, Zaibo Li

1. Breast cancer remains the most commonly diagnosed cancer among women globally, representing a significant burden of disease and mortality (1). In pathology laboratories worldwide, biomarker test...

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AI for pathologists: a universal lymph node metastasis detection app that enhances efficiency while preserving diagnostic accuracy

Jennifer L. Vazzano, Bindu S. Challa, Vidya Arole, Konstantin Shilo et autres

Increasing workload combined with the shortage of pathologists is the leading cause of diagnostic errors and delays. Nonetheless, in clinical practice, pathologists often spend hours on tedious tasks such as counting mitoses and searching for lymph node micro-metastasis, which may yield unreliable …

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