Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods

This paper investigates the applications of explainable AI (XAI) in healthcare, which aims to provide transparency, fairness, accuracy, generality, and comprehensibility to the results obtained from AI and ML algorithms in decision-making systems. The black box nature of AI and ML systems has remain...

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Veröffentlicht in:	Informatics in medicine unlocked Jg. 40; S. 101286
Hauptverfasser:	S Band, Shahab, Yarahmadi, Atefeh, Hsu, Chung-Chian, Biyari, Meghdad, Sookhak, Mehdi, Ameri, Rasoul, Dehzangi, Iman, Chronopoulos, Anthony Theodore, Liang, Huey-Wen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 2023 Elsevier
Schlagworte:	Explainable artificial intelligence (XAI) Health Interpretability ML Methods Review Explainable artificial intelligence (XAI) ML Methods Review Interpretability Health
ISSN:	2352-9148, 2352-9148
Online-Zugang:	Volltext
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