India is stepping up efforts to overhaul its healthcare system by embedding artificial intelligence (AI) technologies into public and private health services, part of a broader national strategy to expand quality care and achieve universal health coverage.
The government’s initiative places AI at the center of its health reform agenda, aiming to modernize service delivery, improve access in underserved areas and strengthen disease surveillance across the country. This effort is linked to India’s long-term development goals, including the vision of a “Viksit Bharat” by 2047 focused on equitable access to advanced medical care.
AI-based tools have already been deployed in several large-scale health programmes. These technologies are enhancing the capabilities of frontline health workers, improving screening for conditions such as tuberculosis and diabetic eye disease, and supporting telemedicine platforms that have facilitated hundreds of millions of remote consultations, with measurable improvements in health outcomes and efficiency.
Integration of AI extends to public health infrastructure as well. Systems used for telehealth services and disease monitoring are being augmented with AI-assisted features to improve diagnostic accuracy and early detection of outbreaks. The deployment of these solutions is part of a push to bridge gaps in access and quality between urban centres and rural communities.
India’s healthcare transformation through AI is attracting global attention ahead of the upcoming AI-India Impact Summit 2026, where policymakers, technologists and industry leaders will convene to explore frameworks for responsible AI governance, research collaborations and scalable solutions for public welfare. 
Across the region, other initiatives reflect similar trends in AI-driven health innovation, from integrated digital patient services in major hospitals to regional conferences focusing on AI as a tool for public health advancement. 
As healthcare demand grows with rising chronic disease burdens, AI is being positioned not just as a technological enhancement but as a foundational element of future health systems, with implications for workforce transformation, patient outcomes and cost-effective care.
