Artificial intelligence in healthcare analytics

Résumé fourni par la source

Artificial intelligence (AI) in healthcare analytics represents a transformative force with the potential to revolutionize clinical decision-making, operational efficiency, and patient-centered care. While its applications in precision medicine, predictive modeling, and administrative optimization are promising, the integration of AI also raises critical ethical, governance, and trust-related concerns. This paper explores the evolution, use cases, and associated challenges of AI in healthcare analytics, emphasizing the dual-use nature of these technologies. Drawing on agency theory and moral responsibility theory, the study highlights the shared responsibilities of developers, healthcare institutions, regulators, and patients in ensuring equitable, transparent, and accountable AI deployment. It proposes a multi-pronged strategy combining technical safeguards, regulatory oversight, and ethical capacity-building to align AI innovation with public interest. Through this comprehensive analysis, the paper offers guidance for ethically sustainable integration of AI in healthcare systems while preserving human dignity and social trust.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.