Retrospective validation of a novel multimodal AI prognostic tool integrating digital pathology and clinical data against real world data and Oncotype DX in a Swiss breast cancer cohort.

Authors

Ke‐Wu Zeng (ORCID: https://orcid.org/0000-0003-1082-6327)
Jan Witowski (ORCID: https://orcid.org/0000-0001-9284-4830)
Simone E. Muenst (ORCID: https://orcid.org/0000-0001-7973-1401)
Elena Diana Chiru
Marcus Vetter (ORCID: https://orcid.org/0000-0002-1785-4876)
Christian Kurzeder (ORCID: https://orcid.org/0000-0003-4368-7490)
Lina Sojak

Institutions

University of Basel (CH)
University Hospital of Basel (CH)
Psychiatry Baselland (CH)
Breast Center (CH)

Publication Details

Journal: Journal of Clinical Oncology
Published: 2025-05-28
DOI: https://doi.org/10.1200/jco.2025.43.16_suppl.e13595
Primary Topic: AI in cancer detection
Type: article
Field-Weighted Citation Impact: 0.00

Funders

AbbVie
Schweizerische Arbeitsgemeinschaft für Klinische Krebsforschung

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article

Retrospective validation of a novel multimodal AI prognostic tool integrating digital pathology and clinical data against real world data and Oncotype DX in a Swiss breast cancer cohort.

Ke‐Wu Zeng, Jan Witowski, Simone E. Muenst, Elena Diana Chiru et al.

May 28, 2025

1 links

Journal of Clinical Oncology

AI in cancer detection

article

Retrospective validation of a novel multimodal AI prognostic tool integrating digital pathology and clinical data against real world data and Oncotype DX in a Swiss breast cancer cohort.

Ke‐Wu Zeng, Jan Witowski, Simone E. Muenst, Elena Diana Chiru, Marcus Vetter, Christian Kurzeder, Lina Sojak

May 28, 2025article en

Abstract

No abstract available for this paper.

Journal of Clinical OncologyVol. 43(16_suppl)

University of Basel (CH), University Hospital of Basel (CH), Psychiatry Baselland (CH), Breast Center (CH)

AbbVie, Schweizerische Arbeitsgemeinschaft für Klinische Krebsforschung

Openalex Percentile: Top 95%

AI in cancer detection

DOI Source OpenAlex

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