#explainable ai
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Aug 2026
Responsible AI Framework in Healthcare: a People, Process and Technology Perspective
AI continues to be adopted in various sectors, one of which is healthcare. AI adoption in healthcare needs to be a key focus to prevent risks related to human life. However, the implementation of AI in healthcare can pose ethical and governance challenges related to transparency, accountability, fairness, privacy, trus...
Erin Erin, S. Isa, N. A. C. Andryani et al.
· International Conferences on... · 0 citations
Review
Open access
Sep 2026
From principles to binding rules: A one health governance readiness analysis of Saudi Arabia's AI health policy against global regulatory benchmarks
Saudi Arabia's AI health governance is strong on device-specific technical guidance but relies on internal quality-management auditing rather than independent third-party conformity assessment, and has not converted ethics principles into binding rules with the public-health reach of the EU AI Act.
Ahmed Alqheedan
· One Health · 0 citations
Review
Open access
Sep 2026
A framework for population health observatory from a global perspective: proposed preliminary maturity model and key performance indicators
Background Population health observatories (PHOs) have emerged as fundamental pillars of modern public health governance, enabling the transformation of fragmented, multidimensional health data from multiple centres into evidence-informed policymaking and development, strategic planning and actionable intelligence for...
M. Al Eissa, Shaker A. Alomary, A. Assiri
· Frontiers in Public Health · 0 citations
Review
Open access
Sep 2026
From principles to practice: an actionable framework for AI governance in healthcare organisations
Abstract Objective Artificial intelligence (AI) technologies are being rapidly adopted in healthcare, yet organisational governance often lacks the processes needed to oversee their safe and responsible use. Previous AI governance frameworks largely focus on high-level AI ethics principles, leaving healthcare organisat...
S. Freeman, Amy Wang, Sudeep Saraf et al.
· BMJ digital health & AI · 0 citations
Review
Open access
Sep 2026
Mentorship as a Catalyst for AI-Ready Health Information Management in Nigeria: Building an Ethical and Future-Ready Digital Health Workforce
Artificial intelligence (AI) is changing how health data are generated, curated, analysed, exchanged, and used for decisions. In Nigeria, Health Information Management professionals occupy a strategic position between clinical practice, administration, technology, regulation, and public health, yet longstanding digital...
Yusuf Popoola
· The Eurasia Proceedings of H... · 0 citations
Open access
Sep 2026
Ten pillars for responsible and ethical AI adoption in Lebanon’s health sector
Artificial intelligence (AI) is increasingly integrated into healthcare systems globally, including diagnostics, predictive analytics, and public health surveillance. AI adoption is increasing, yet fragile and resource-limited settings face distinct ethical and legal challenges. Lebanon provides a complex case: since 2...
Francois Fadell, Lina Khatib, Walid Ahmar et al.
· Academia Global and Public H... · 0 citations
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