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Tugba Akinci D'Antonoli

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Review Sep 2026

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): Explanation, Elaboration, and Examples.

The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) provides a structured framework for transparent and reproducible reporting of AI studies in medical imaging. Since its introduction in 2020, CLAIM has been widely adopted by researchers, reviewers, and journal editors, but variability in its interpret...

Tugba Akinci D'Antonoli, L. Adams, Amine Amyar et al. · 0 citations
Review Open access Aug 2026

Explainable artificial intelligence in medical imaging: how to interpret, evaluate, and use artificial intelligence explanations.

An accessible overview of XAI is provided, including saliency maps, perturbation-based and feature-attribution approaches, concept- based methods, and example-based reasoning, as well as uncertainty quantification as a complementary approach for assessing prediction reliability, along with common misconceptions and eme...

Gorkem Durak, H. Aktas, Tugba Akinci D'Antonoli et al. · 0 citations

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