India is rapidly expanding the use of artificial intelligence (AI) to transform its healthcare system, with the government focusing on improving accessibility, affordability, and quality of care. AI is being deployed to address gaps in healthcare delivery, enhance medical devices and services, and support early detection and diagnosis of diseases. This shift reflects a broader push toward integrating advanced technologies into public health systems to achieve more efficient and inclusive healthcare outcomes.
A major highlight of this transformation is the integration of AI into national health programmes. For instance, AI-enabled tools in the National TB Elimination Programme have contributed to a 27% reduction in adverse tuberculosis outcomes. Additionally, India’s disease surveillance systems use AI to scan digital data and identify outbreak patterns, generating thousands of alerts since 2022. Telemedicine platforms like e-Sanjeevani have also scaled significantly, delivering hundreds of millions of consultations, with millions supported by AI-assisted diagnosis.
The government’s broader strategy includes initiatives such as the IndiaAI Mission, launched in 2024, which aims to promote inclusive development and strengthen governance through AI adoption. Earlier frameworks, including those outlined by NITI Aayog, identified AI, robotics, and connected devices as a “new nervous system” for healthcare. These efforts have led to widespread adoption of AI tools across programmes such as diabetic retinopathy screening, nutrition monitoring, and remote healthcare delivery, especially in underserved regions.
Looking ahead, India’s healthcare transformation is being driven by a unified approach combining AI-powered diagnostics, predictive analytics, and telemedicine. Technologies such as automated X-ray analysis and predictive tools for identifying high-risk patients are helping overcome shortages of specialists and improving clinical decision-making. Overall, the deepening integration of AI is positioning India to build a more resilient, data-driven, and patient-centric healthcare system aligned with the goal of universal health coverage.
