TrAI
(Translating Advances In Artificial Intelligence Into Health Services)
Our work translates the advances in artificial intelligence and digital health technology into innovative health services, with a special focus on meeting the health needs of resource-limited settings. We view the implementation of AI tools into health services as a sequential two step process:
- Translational Research: Transforming theoretical and scientific breakthroughs in AI and related disciplines into applied solutions and usable tools that can support, augment, audit, strengthen or extend health services.
- Implementation Science: Deploying, integrating, and rigorously evaluating AI-driven tools and technologies within clinical and public health settings to ensure safety, effectiveness, efficacy, and scalability.
With our work, we aim to create and evaluate health services, ancillary tools and technologies that can be deployed readily in clinical and public health settings to meet health services needs in resource-limited settings across the world.
Publications
2026
Leapfrogging Health Services Delivery In Resource-Limited Settings With Artificial Intelligence
Kiran Raj Pandey, Bishesh Khanal, Udunna Anazodo, Rosalind Parkes-Ratanshi, Binod Bhattarai, Chetan Arora, Gilberto Ochoa-Ruiz, Rose Nakasi
2026
Privacy-Preserved Learning in Health AI Through Federated Learning
Kiran Raj Pandey, Binod Bhattarai, Aavash Chhetri, Yash Raj Shrestha
2022
Seroprevalence of COVID-19 among health workers in the Kathmandu Valley, Nepal: a longitudinal cohort study
Kiran Raj Pandey, Aseem Bhattarai, Suman Pant, Rimmy Barakoti, Janaki Pandey, Anup Subedee, Prabhat Adhikari, Diptesh Aryal, Prakash Jyoti Pokharel, Gentle Sunder Shrestha, Kamal Pandit, Narendra Timalsina, Sameer Thapa, Roshan Parajuli, Pradip Gyanwali
Nepal Medical College Journal, Volume 24, Number 3, (Sep. 2022)
Peer Reviewed Journal articleTrAI (Translating Advances In Artificial Intelligence Into Health Services)
