Supplemental Materials for: "Auditing Shortcut Learning and Misclassification in AI-Based Breast Cancer Genomic Subtyping"
Year: 2026
Type: supplementary-materials
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.
Source: JAMIA Open
Author: Borges, Julian
Institution: Boston University
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,762
OpenAlex ID: W7119117116
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