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Explainable Artificial Intelligence in Healthcare (XAIH) is a peer-reviewed academic journal dedicated to advancing transparent, interpretable, and trustworthy artificial intelligence applications in the healthcare domain. The journal focuses on explainable machine learning models, clinical decision support systems, medical data analytics, ethical and regulatory aspects of AI in healthcare, model interpretability for diagnosis and prognosis, and human-centered AI for medical practice. XAIH provides a scholarly platform for researchers, clinicians, and policymakers to disseminate rigorously validated research that enhances accountability, safety, and trust in AI-driven healthcare systems.
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Our Commitment to Sustainable Development Goals (SDGs) Explainable Artificial Intelligence in Healthcare prioritizes rigorous research methodologies, emphasizing both the practical and theoretical implications of explainable AI applications in healthcare. It also highlights research that advances sustainability and sustainable development, with a particular focus on supporting the achievement of the United Nations 2030 Sustainable Development Goals (SDGs), reflecting the growing importance of transparent, ethical, and trustworthy AI systems in healthcare services.
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Online ISSN 0000-0000 | Explainable Artificial Intelligence in Healthcare |
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