The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance

Abstract Explainable Artificial Intelligence (XAI) is proposed as essential for high-risk applications like healthcare, where it aims to enhance user trust. However, studies often rely on automated metrics rather than user evaluation. We adapt a prototype-based XAI model for image-based gestational...

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Bibliografische Detailangaben

Hauptverfasser:	Angus Nicolson, Elizabeth Bradburn, Yarin Gal, Aris T. Papageorghiou, J. Alison Noble
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-11-01
Schriftenreihe:	npj Digital Medicine
Online-Zugang:	https://doi.org/10.1038/s41746-025-02023-0
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