Beauty is in the explainable artificial intelligence (XAI) of the "agnostic" beholder
- PMID: 36915578
- PMCID: PMC10007889
- DOI: 10.21037/tcr-22-2664
Beauty is in the explainable artificial intelligence (XAI) of the "agnostic" beholder
Keywords: Explainable artificial intelligence (XAI); agnostic models; machine learning (ML); ovarian cancer.
Conflict of interest statement
Conflicts of Interest: The authors have completed the ICMJE uniform disclosure form (available at https://tcr.amegroups.com/article/view/10.21037/tcr-22-2664/coif). The authors have no conflicts of interest to declare.
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Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review.Transl Cancer Res. 2022 Oct;11(10):3853-3868. doi: 10.21037/tcr-22-1626. Transl Cancer Res. 2022. PMID: 36388027 Free PMC article. Review.
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- Kobylińska K, Orłowski T, Adamek M, et al. Explainable Machine Learning for Lung Cancer Screening Models. Applied Sciences 2022;12:1926. 10.3390/app12041926 - DOI
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- Slack D, Hilgard S, Jia E, et al. Fooling lime and shap: Adversarial attacks on post hoc explanation methods. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2020:180-6.
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