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<i>Shortkit-ML</i> : A Unified Multi-Perspective Framework for Detecting Shortcut Learning in Medical Imaging Embeddings

2026-04-30

Abstract excerpt

<h4> A bstract </h4> Shortcut learning poses a significant challenge in clinical artificial intelligence, as models may rely on spurious signals rather than clinically relevant features, leading to biased predictions and poor generalization. Existing detection methods are fragmented and lack systematic evaluation across datasets and model architectures. To address this issue, we propose ShortKit-ML , an open-s...

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Literature Corpus work
e6e8d1b3-b166-592e-a704-3d27472d9331
DOI
10.64898/2026.04.29.26352053
Open publication

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<i>Shortkit-ML</i> : A Unified Multi-Perspective Framework for Detecting Shortcut Learning in Medical Imaging EmbeddingsDOI 10.64898/2026.04.29.26352053
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