Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

20260 citationsJournal Articlehybrid Open Access

Authors

Gil Shamai · Technion – Israel Institute of Technology

Shachar Cohen · Technion – Israel Institute of Technology

Yoav Binenbaum · Dana-Farber/Boston Children's Cancer and Blood Disorders Center

Edmond Sabo · Carmel Medical Center

Alexandra Cretu · Carmel Medical Center

Chen Mayer · Sheba Medical Center

I. Barshack

Abstract

Israel Innovation Authority (Kamin), Zimin Institute for Artificial Intelligence Solutions in Healthcare, Israel Precision Medicine Partnership program, and Israel Cancer Research Fund.

Topics & Keywords

AI in cancer detection Digital Imaging for Blood Diseases Radiomics and Machine Learning in Medical Imaging

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: The Lancet Oncology

Volume 27, Issue 4, pp. 512-526

DOI: 10.1016/s1470-2045(25)00727-2

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