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

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
Main Authors: Shahab S Band, Atefeh Yarahmadi, Chung-Chian Hsu, Meghdad Biyari, Mehdi Sookhak, Rasoul Ameri, Iman Dehzangi, Anthony Theodore Chronopoulos, Huey-Wen Liang
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Explainable artificial intelligence (XAI)
Interpretability
Health
ML Methods
Review
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914823001302

Internet

http://www.sciencedirect.com/science/article/pii/S2352914823001302

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