Bridging the gap in rural and underserved areas through AI‐enabled solutions

Abstract

Healthcare disparities between urban and rural populations remain one of the most pressing challenges in global health. In underserved areas, patients face numerous obstacles, including a lack of healthcare infrastructure, long distances to medical facilities, shortages of skilled professionals, and limited access to real-time medical resources. These challenges result in poor health outcomes, higher mortality rates, and increased disease burden in rural communities. However, artificial intelligence (AI) is emerging as a transformative tool in addressing these healthcare gaps. By leveraging AI-driven solutions, we can create sustainable and scalable healthcare models that improve access, enhance the quality of care, and optimise resources for underserved populations. This article explores how AI is revolutionising rural healthcare, with a focus on the practical applications that can make a meaningful difference