Supplemental Materials for: "Auditing Shortcut Learning and Misclassification in AI-Based Breast Cancer Genomic Subtyping"

This Zenodo deposit contains supplemental creative materials related to the peer-reviewed publication: **"Auditing Shortcut Learning and Misclassification in AI-Based Breast Cancer Genomic Subtyping"** Published in: *JAMIA Open* (Oxford University Press) DOI: [10.1093/jamiaopen/ooaf177](https://doi.org/10.1093/jamiaopen/ooaf177) These materials include:- A detailed project README- Data audit figures and summaries- PDF export of the Colab notebook- Presentation deck and protocol- Scripts used for reproducibility Please note: All structured datasets have been formally deposited and curated in [Dryad](https://doi.org/10.5061/dryad.fj6q57482) under the CC0 waiver. This Zenodo entry hosts creative and explanatory content under a **CC-BY 4.0** license for proper attribution. This content evolved from an early capstone submission (Zenodo preprint [10.5281/zenodo.15237131](https://doi.org/10.5281/zenodo.15237131)) and reflects the peer-reviewed, final version published in JAMIA Open.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-07
DOI
https://doi.org/10.5281/zenodo.18175665
Primary Topic
AI in cancer detection
Type
article
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0.00
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article

Supplemental Materials for: "Auditing Shortcut Learning and Misclassification in AI-Based Breast Cancer Genomic Subtyping"

Julian Borges
Zenodo (CERN European Organization for Nuclear Research)
AI in cancer detection
article

Supplemental Materials for: "Auditing Shortcut Learning and Misclassification in AI-Based Breast Cancer Genomic Subtyping"

Julian Borges
article en

Abstract

This Zenodo deposit contains supplemental creative materials related to the peer-reviewed publication: **"Auditing Shortcut Learning and Misclassification in AI-Based Breast Cancer Genomic Subtyping"** Published in: *JAMIA Open* (Oxford University Press) DOI: [10.1093/jamiaopen/ooaf177](https://doi.org/10.1093/jamiaopen/ooaf177) These materials include:- A detailed project README- Data audit figures and summaries- PDF export of the Colab notebook- Presentation deck and protocol- Scripts used for reproducibility Please note: All structured datasets have been formally deposited and curated in [Dryad](https://doi.org/10.5061/dryad.fj6q57482) under the CC0 waiver. This Zenodo entry hosts creative and explanatory content under a **CC-BY 4.0** license for proper attribution. This content evolved from an early capstone submission (Zenodo preprint [10.5281/zenodo.15237131](https://doi.org/10.5281/zenodo.15237131)) and reflects the peer-reviewed, final version published in JAMIA Open.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Openalex Percentile: Top 95%
AI in cancer detection
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