IndiaAI and WHO invite AI healthcare abstracts for Global South Casebook
The IndiaAI Mission (MeitY), in partnership with the World Health Organization (WHO), is calling for abstracts that document proven, scalable AI applications in healthcare across the Global South. Selected use cases will be featured in a Casebook to be released at the India-AI Impact Summit 2026 in New Delhi on February 19-20.
The goal: give policymakers, health leaders, and innovators a clear view of what works, why it works, and how to replicate it. This is a practical resource to inform adoption, procurement, and scale-up across health systems.
Who should apply
- Researchers, innovators, and institutions from the Global South
- Public health programs, hospitals, startups, NGOs, and academic teams with real-world deployments
- Projects that have measurable outcomes and a credible path to scale
What your abstract should include (max 250 words)
- Problem statement and context (population, setting, health domain)
- AI solution and data used (brief, non-promotional)
- Deployment model (workflow, integration, partners)
- Ethical, safety, and governance guardrails (risk management, oversight)
- Impact and evidence (KPIs, outcomes, cost or efficiency gains)
- Lessons learned and what you would do differently
If shortlisted
Contributors will be invited to submit a full chapter (2,500-3,000 words) covering the solution, deployment, ethics, impact, and lessons learned in detail.
Key dates
- Abstract deadline: October 31, 2025 (up to 250 words)
- Full chapter deadline: December 15 (for shortlisted entries)
- Casebook release: India-AI Impact Summit 2026, February 19-20, New Delhi
How to submit
- Review the guidelines and submit your abstract via the official page: IndiaAI x WHO: Call for Abstracts
- Limit abstracts to 250 words and focus on evidence, scale, and governance
- For queries, email: fellow3.gpai-india@meity.gov.in with the subject line: Call for Abstracts - Query - [Author Name]
Why this matters for governments and health leaders
- Build a vetted evidence base of AI in primary care, diagnostics, public health, and hospital operations
- Reduce risk by learning from real deployments, not pilots that stall
- Accelerate adoption with replicable models, procurement insights, and governance practices
Helpful resources
- WHO guidance on AI ethics for health: Ethics and governance of AI for health
- Submission page and full instructions: IndiaAI x WHO Submission Portal
If your AI project has delivered measurable health impact and can scale in the Global South, submit your abstract by October 31, 2025.
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