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Chaddad, A., Peng, J., Xu, J. and Bouridane, A. (2023) Survey of Explainable AI Techniques in Healthcare. Sensors, 23, Article 634.
https://doi.org/10.3390/s23020634

has been cited by the following article:

• TITLE: Revolutionizing Healthcare: The Impact of Machine Learning and Artificial Intelligence

  AUTHORS: Adebayo Augustine Adeniyi, Oluwademiladeayo Samuel Adeniyi

  KEYWORDS: Artificial Intelligence, Machine Learning, Healthcare

  JOURNAL NAME: E-Health Telecommunication Systems and Networks, Vol.13 No.4, November 27, 2024

  ABSTRACT: Machine Learning (ML) and Artificial Intelligence (AI) are transforming the healthcare landscape by enabling data-driven decision-making, enhancing diagnostic accuracy, and improving patient outcomes. This article reviews the current state of AI and ML in healthcare, explores their applications in diagnosis, treatment planning, and patient management, and discusses the challenges and future potential of these technologies in the medical field.