Leveraging artificial intelligence for sustainable healthcare transformation: Socioeconomic impacts and ethical implications

The integration of artificial intelligence (AI) into healthcare systems holds transformative potential to redefine healthcare delivery and accelerate progress toward Sustainable Development Goals (SDGs). However, the socioeconomic and ethical implications of AI adoption remain underexplored, particularly in real-world deployment contexts. This study aims to bridge this gap by examining AI’s impact on healthcare efficiency, cost savings, and workforce dynamics while addressing barriers to equitable access and ethical concerns such as data privacy, transparency, and algorithmic bias. A mixed-methods approach, including statistical modeling, economic analysis, and stakeholder interviews, was employed to evaluate AI’s potential to enhance healthcare delivery and mitigate disparities. Key findings demonstrate AI’s capacity to improve health outcomes, drive economic growth, and optimize resource allocation but underscore the need for robust governance frameworks to ensure ethical and inclusive AI adoption. These insights offer actionable recommendations for policymakers, healthcare professionals, and technology developers seeking to harness AI for sustainable healthcare transformation.