Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study

Abstract Artificial intelligence (AI) systems substantially improve dermatologists’ diagnostic accuracy for melanoma, with explainable AI (XAI) systems further enhancing their confidence and trust in AI-driven decisions. Despite these advancements, there remains a critical need for objective evaluat...

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書誌詳細

出版年:	Nature Communications
主要な著者:	Tirtha Chanda, Sarah Haggenmueller, Tabea-Clara Bucher, Tim Holland-Letz, Harald Kittler, Philipp Tschandl, Markus V. Heppt, Carola Berking, Jochen S. Utikal, Bastian Schilling, Claudia Buerger, Cristian Navarrete-Dechent, Matthias Goebeler, Jakob Nikolas Kather, Carolin V. Schneider, Benjamin Durani, Hendrike Durani, Martin Jansen, Juliane Wacker, Joerg Wacker, Reader Study Consortium, Titus J. Brinker
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2025-05-01
オンライン･アクセス:	https://doi.org/10.1038/s41467-025-59532-5