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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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Kaydedildi:
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2025-08-01
Seri Bilgileri:Diagnostics
Konular:
AI decision support systems
clinician trust
confidence calibration
AI transparency
Online Erişim:https://www.mdpi.com/2075-4418/15/17/2204
Etiketler: Etiketle
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