Archive · 13 Dec 2025
India Potential Global Leader in AI Stroke Care
Experts say India could become a leader in using AI to help people who have strokes.
Strokes happen when blood flow to the brain is blocked.
AI can help doctors make quick decisions and give better care, even in far-away places.
At a big meeting in New Delhi, doctors talked about how AI can help with things like looking at brain pictures, making plans for treatment, and using robots to help.
They said India needs to train more people and build better technology to make this happen.
AI can help save lives and make sure people get the right care quickly, even if they are far from big hospitals.
India has the potential to become a global leader in AI-supported stroke management with proper training and digital infrastructure.
Experts discussed the integration of AI in modern stroke care at the Stroke & AI 2025 conference in New Delhi.
AI-enabled systems can extend stroke specialist expertise beyond tertiary centers, ensuring timely interventions, especially in rural areas.
Tele-stroke models and cloud-based AI platforms make specialist guidance accessible in remote locations.
AI can help with faster brain imaging interpretation, smarter emergency triage, and better treatment planning, reducing stroke-related mortality and disability.
- Who
- Health experts, including Dr. Dhiraj Khurana, Dr. P. Vijaya, and Dr. Kameshwar Prasad
- What
- Discussion on the potential of AI in stroke care and its significance in India, especially in rural areas
- When
- December 13, 2023
- Where
- India Habitat Centre, New Delhi
- Why
- To explore how AI-powered tools can improve stroke care, reduce treatment delays, and support precision-driven procedures
- Event
- Stroke & AI 2025 conference
- Location
- India Habitat Centre, New Delhi
- Date
- December 13
- Key Speakers
- Dr. Dhiraj Khurana, Dr. P. Vijaya, Dr. Kameshwar Prasad
- Key Topics
- AI in stroke care, tele-stroke models, cloud-based AI platforms, mechanical thrombectomy, advanced neurointervention, perfusion imaging, emergency workflow triage, robotic support, AI-based predictive modelling
- Potential Benefits
- Faster interpretation of brain imaging, smarter triage in emergency settings, bridging critical gaps in imaging interpretation, emergency triage, and treatment planning
- Challenges
- Need for structured training, digital infrastructure, and rapid-response systems
