Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants

Although machine learning (ML) models of AI achieve high performances in medicine, they are not free of errors. Empowering clinicians to identify incorrect model recommendations is crucial for engendering trust in medical AI. Explainable AI (XAI) aims to address this requirement by clarifying AI rea...

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Veröffentlicht in:	arXiv.org 2022-12
Hauptverfasser:	Guzey, Isil, Ucar, Ozlem, Nukhet Aladag Ciftdemir, Acunas, Betul
Format:	Artikel
Sprache:	eng
Schlagworte:	Antibiotics Artificial intelligence Context End users Explainable artificial intelligence Failure analysis Infants Machine learning Medical imaging Methodology Premature babies Recognition Tables (data)
Online-Zugang:	Volltext
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