Can India Become a Global Leader in AI-Supported Stroke Management?
Synopsis
Key Takeaways
- AI can significantly enhance stroke management in India.
- Improved training and digital infrastructure are crucial.
- Tele-stroke models provide access to specialists in remote areas.
- AI tools can accelerate treatment and reduce mortality rates.
- National-level adoption of AI is essential for bridging care gaps.
New Delhi, Dec 13 (NationPress) Experts assert that with adequate training and enhanced digital infrastructure, India holds the promise of emerging as a global frontrunner in artificial intelligence (AI)-driven stroke care. This was highlighted during the Stroke & AI 2025 conference at the India Habitat Centre. The discussion focused on the integration of AI in contemporary stroke treatment, emphasizing its crucial role in the country, particularly in rural regions.
According to Dr. Dhiraj Khurana, DM (Neurology) from PGIMER, Chandigarh, “For a nation like India, where access to stroke specialists is inconsistent, AI-powered systems can revolutionize care by extending expertise beyond major medical centers and facilitating timely, life-saving interventions.”
Dr. P. Vijaya, President of the Indian Stroke Association (ISA), added, “India can indeed become a global leader in AI-supported stroke management if we commit to structured training, developing digital infrastructure, and establishing rapid-response systems.”
Furthermore, the experts underscored the growing importance of tele-stroke models and cloud-based AI platforms, which enhance access to specialist guidance in remote areas.
“AI is swiftly becoming an indispensable ally in stroke management. From quicker analysis of brain scans to improved emergency triage, AI is assisting healthcare providers in making critical decisions when every second matters,” Khurana noted.
Emphasizing the need for nationwide implementation and training, experts pointed out that AI has the capability to address significant gaps in imaging interpretation, emergency triage, and treatment planning, especially in resource-constrained environments.
“By equipping clinicians with expedited and precise tools, AI can save countless lives and substantially alleviate the long-term impact of strokes on families and communities,” Vijaya stated.
The conference aimed to foster dialogue on how AI-enhanced tools—including predictive algorithms, automated imaging analysis, workflow optimization, and personalized rehabilitation—can expedite treatment processes, enhance diagnostic precision, and markedly decrease stroke-related fatalities and enduring disabilities.
Sessions covering topics such as mechanical thrombectomy, advanced neurointervention, perfusion imaging, emergency workflow triage, robotic assistance, and AI-driven predictive modeling garnered significant attention from attendees.
“Stroke care is on the brink of a significant transformation, with artificial intelligence at its core. The discussions clearly indicate that AI is not just a future prospect, but a current resource that can minimize treatment delays, refine clinical decision-making, and support precision-driven methods like thrombectomy and advanced imaging,” asserted Dr. Kameshwar Prasad, a neurologist from Delhi and recipient of the Padmashree Award.