Abstract

This paper explores the integration of artificial intelligence (AI) and telemedicine as a transformative solution for strengthening healthcare systems in low-resource settings. It examines how AI-driven technologies, including diagnostic support, treatment planning, and patient monitoring, can enhance telemedicine platforms to provide accessible, efficient, and personalized healthcare. The synergy between AI and telemedicine is explored through case studies and global best practices, demonstrating their combined potential to address healthcare challenges in rural and underserved regions. The paper discusses the impact of these technologies on healthcare access, provider efficiency, and the overall resilience of health systems, particularly during crises such as pandemics. Furthermore, policy recommendations emphasize the importance of regulatory frameworks, infrastructure investments, and healthcare professional training to support AI and telemedicine integration. Future research areas focus on technological advancements, scalability, and the long-term impact on health system sustainability and equity. The integration of AI and telemedicine promises to significantly improve healthcare delivery in low-resource settings, enhancing accessibility, efficiency, and overall system resilience.