Enhancing Clinician Trust in AI Diagnostics: A Dynamic Framework for Confidence Calibration and Transparency

<b>Background:</b> Artificial Intelligence (AI)-driven Decision Support Systems (DSSs) promise improvements in diagnostic accuracy and clinical workflow efficiency, but their adoption is hindered by inadequate confidence calibration, limited transparency, and poor alignment with real-world decision...

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Váldodahkkit:	Yunguo Yu, Cesar A. Gomez-Cabello, Syed Ali Haider, Ariana Genovese, Srinivasagam Prabha, Maissa Trabilsy, Bernardo G. Collaco, Nadia G. Wood, Sanjay Bagaria, Cui Tao, Antonio J. Forte
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2025-08-01
Ráidu:	Diagnostics
Fáttát:	AI decision support systems clinician trust confidence calibration AI transparency
Liŋkkat:	https://www.mdpi.com/2075-4418/15/17/2204
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