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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Bibliographic Details

Published in:	Informatics in medicine unlocked Vol. 40; p. 101286
Main Authors:	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
Language:	English
Published:	Elsevier Ltd 2023 Elsevier
Subjects:	Explainable artificial intelligence (XAI) Health Interpretability ML Methods Review Explainable artificial intelligence (XAI) ML Methods Review Interpretability Health
ISSN:	2352-9148, 2352-9148
Online Access:	Get full text
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