Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer

MMAI using digital pathology from H&E slides provides enhanced prognostic quality in HR+/HER2- EBC and could help to advance personalized breast cancer management.

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Publication Details

Journal
JCO Clinical Cancer Informatics
Published
2025-11-01
DOI
https://doi.org/10.1200/cci-24-00287
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer

Jacqueline Griffin, Jingbin Zhang, Ulrike Nitz, Oleg Gluz et al.
JCO Clinical Cancer Informatics
AI in cancer detection
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Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer

Jacqueline Griffin, Jingbin Zhang, Ulrike Nitz, Oleg Gluz, Matthias Christgen, Felix Yi-Chung Feng, Ronald Kates, Nadia Harbeck, Rachel Wuerstlein, Monika Graeser, Hans Heinrich Kreipe, Nancy U. Lin, Sven Mahner, Hans Pinckaers, Sherko Kuemmel, Andre Esteva, Akinori Mitani, Daniel Kates-Harbeck, Yi Ren, Doris Mayr, Gijs Smit, Songwan Joun
article en

Abstract

MMAI using digital pathology from H&E slides provides enhanced prognostic quality in HR+/HER2- EBC and could help to advance personalized breast cancer management.

JCO Clinical Cancer InformaticsVol. 9(9)
Universität Hamburg (DE), San Francisco Art Institute (US), University of California, San Francisco (US), LMU Klinikum (DE), Research Institute for Philosophy Hannover (DE), University Medical Center Hamburg-Eppendorf (DE), Klinik Niederrhein (DE), Women‘s Healthcare Group (DE), Kliniken Essen-Mitte (DE), Ludwig-Maximilians-Universität München (DE), Leipzig University (DE)
Openalex Percentile: Top 81%
AI in cancer detection
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