Authors: Rameshwaran Kuppusamy
Abstract: Global disparities in healthcare access remain one of the most pressing challenges in public health. In many regions, particularly low-income and remote areas, people face obstacles such as limited clinical infrastructure, lack of trained professionals, and economic or cultural barriers. Artificial Intelligence (AI) presents a powerful opportunity to bridge these gaps by delivering scalable, adaptive, and cost-effective healthcare solutions. This article explores how AI-powered diagnostics, virtual care platforms, multilingual communication tools, and public health analytics can significantly improve access to quality care. By automating triage, supporting remote monitoring, and tailoring services to local languages and cultural contexts, AI enhances both reach and relevance. The piece also addresses critical deployment challenges, including data privacy, algorithmic bias, and infrastructure constraints. Through global case studies and best practices, the article makes the case for ethically designed, locally embedded AI systems that amplify healthcare impact and equity. AI, when responsibly implemented, can serve as a transformative force in achieving universal healthcare access.
DOI: https://doi.org/10.5281/zenodo.16741996
