AI for Clinical Decision Support
Machine learning models that assist clinicians with triage, diagnosis, and risk prediction — validated against real-world outcomes and integrated into hospital workflows.
EXPLORE THE WORKOur research spans the full arc of digital health — from foundational data infrastructure to bedside decision support. Each focus area pairs rigorous science with real clinical partnerships, so discoveries reach patients faster and more equitably.
Machine learning models that assist clinicians with triage, diagnosis, and risk prediction — validated against real-world outcomes and integrated into hospital workflows.
EXPLORE THE WORKFoundation models for CT, MRI, and pathology. Automated segmentation, anomaly detection, and report generation — built with radiologists, evaluated in the clinic.
EXPLORE THE WORKStandards-based platforms (FHIR, OMOP) unifying EHR, imaging, genomic, and registry data — secure, interoperable, and ready for federated research.
EXPLORE THE WORKPopulation-scale analytics for chronic disease, outbreak detection, and equitable access — informing ministries, hospitals, and community programs across Central Asia.
EXPLORE THE WORKFrameworks for fairness, transparency, and post-deployment monitoring — translating global standards into operational guidance for Mongolian and regional health systems.
EXPLORE THE WORKFrom prototype to bedside: field-ready tools for primary care, rural clinics, and specialty units — co-designed with clinicians and continuously evaluated in practice.
EXPLORE THE WORK