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Abstract RF3-03: Evaluation of a digital pathology based multimodal artificial intelligence model for prognosis and prediction of chemotherapy benefit in node-negative, hormone receptor-positive breast cancer patients: analysis of the NSABP B-20 trial

Year: 2026

Type: conference-abstract

Source: Clinical Cancer Research

DOI: 10.1158/1557-3265.sabcs25-rf3-03

Authors: C. E. Geyer, M. Filipits, N. Harbeck, N. Harbeck, J. Zhang6, P. Rastogi, A. Piehler, T. Freeman, M. Balic, W. Zwerink, H. Kreipe, D. Hlauschek, S. Anderson, J. R. Griffin, D. Kates-Harbeck, M. Gnant, N. Wolmark

Institutions: UPMC Hillman Cancer Center, University of Pittsburgh Medical Center, Austrian Breast & Colorectal Cancer Study Group, LMU Klinikum, Ludwig-Maximilians-Universität München, University of Pittsburgh, Medizinische Hochschule Hannover, Medical University of Vienna, Women‘s Healthcare Group

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7129453038

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