AI in Healthcare Accessibility: Bridging the Urban-Rural Divide

Abstract

Access to quality healthcare remains a significant challenge in rural and underserved areas. AI is bridging this gap by enabling telemedicine, remote diagnostics, and mobile health applications. This paper examines AI’s role in improving healthcare delivery in resource-constrained settings, with case studies on AI-powered diagnostic tools and decision support systems. The discussion also highlights barriers such as infrastructure limitations, digital literacy, and ensuring equitable access.