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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Vydané v:	Informatics in medicine unlocked Ročník 40; s. 101286
Hlavní autori:	S Band, Shahab, Yarahmadi, Atefeh, Hsu, Chung-Chian, Biyari, Meghdad, Sookhak, Mehdi, Ameri, Rasoul, Dehzangi, Iman, Chronopoulos, Anthony Theodore, Liang, Huey-Wen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 2023 Elsevier
Predmet:	Explainable artificial intelligence (XAI) Health Interpretability ML Methods Review Explainable artificial intelligence (XAI) ML Methods Review Interpretability Health
ISSN:	2352-9148, 2352-9148
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