Developed in partnership with the World Health Organization (WHO), this casebook showcases diverse use cases spanning predictive diagnostics, disease surveillance, clinical decision support, and telemedicine. These examples illustrate how AI is improving efficiency, enhancing accuracy, enabling early detection, and expanding access to quality healthcare in underserved regions.

Importantly, the casebook situates innovation within real-world constraints and highlights deployable, scalable solutions rather than theoretical models. It underscores the importance of ethical AI adoption, data privacy, and equitable access, particularly in public health systems.

By documenting practical implementations and measurable outcomes, the casebook serves as a resource for policymakers, healthcare leaders, and innovators seeking to integrate AI into health systems responsibly and effectively. It reflects a growing recognition that the future of healthcare will be shaped not just by technological advancement, but by how inclusively and thoughtfully it is applied.

We extend sincere appreciation to the Ministry of Health and Family Welfare and the Indian Council of Medical Research for their leadership in advancing responsible AI in healthcare, and to the WHO for its steadfast partnership in the development of this Casebook. Together, these collective efforts reaffirm that AI, when developed and deployed responsibly, ethically and inclusively, can serve as a powerful instrument for strengthening health systems and advancing global health equity.

Read the Casebook here: Link