15 May 2026
Koita Centre for Digital Health at Ashoka University (KCDH-A) has been awarded the prestigious ππ§ππ’π-ππ’π§π ππ©π¨π«π ππ¨π’π§π πππ’ππ§ππ ππ§π ππππ‘π§π¨π₯π¨π π² πππ¬πππ«ππ‘ ππ«ππ§π ππππ, jointly supported by the Department of Science & Technology, Government of India and A*STAR, Singapore, for the project: “π»πππππ π π¬ππππππππ π―πππππππ: π¨π π°ππ ππ-πΊππππππππ π°πππππππππ πππ πͺπππππππππ-πͺππππππππ π½πππππ π³πππππππ π΄ππ πππ ππ πΉππ ππππππ π¨π°.” The project represents one of the early large-scale India-Singapore efforts focused on building equitable and culturally-congruent foundation models for radiology AI in South Asian populations. Current state-of-the-art medical AI systems are predominantly trained on Western datasets and often demonstrate significant performance degradation and biases when deployed in Asian healthcare settings. Given the extraordinary demographic, socioeconomic, linguistic, environmental, and disease diversity across South Asia, there is a critical need for regionally representative datasets and foundational AI systems designed for our populations and healthcare realities.
This 3-year collaboration will focus on creating large indigenous radiology datasets, rigorously benchmarking existing AI systems for subgroup bias and performance disparities, and developing “for-Asia-by-Asia” vision-language models tailored for diverse healthcare environments across India and Singapore. The initiative aims to help lay the groundwork for trustworthy, equitable, and globally relevant medical foundation models emerging from South Asia. The project is led from the Indian side by Dr. Suvrankar Datta, Prof. Anurag Agrawal, and Dr. Jagjit Kaur at KCDH-A, Ashoka University, in collaboration with Asst. Prof. Swapnil Mishra and Assoc. Prof. Mengling 'Mornin' Feng from the Saw Swee Hock School of Public Health, National University of Singapore (NUS).
Back