Research
Advancing
healthcare AI.
Our research initiatives drive innovation in healthcare AI, from foundational research to clinical validation and real-world implementation.
Research Areas
Our focus areas
AI & Machine Learning
Advancing healthcare AI through cutting-edge research in diagnostics, prediction, and clinical decision support.
Research Topics
Deep learning for medical imaging
Natural language processing for clinical notes
Predictive analytics for patient outcomes
Federated learning for privacy-preserving AI
Clinical Research
Validating AI solutions through rigorous clinical studies and real-world evidence generation.
Research Topics
Clinical validation studies
Real-world evidence generation
Comparative effectiveness research
Health outcomes research
Health Economics
Demonstrating the value of AI in healthcare through economic analysis and outcomes research.
Research Topics
Cost-effectiveness analysis
Budget impact modeling
Value-based care metrics
ROI measurement frameworks
Publications
Recent publications
AI-Powered Diagnostics in Resource-Limited Settings
Nature Digital Medicine • 2024
Federated Learning for Healthcare: A Privacy-First Approach
JAMA Network Open • 2024
Clinical Decision Support Systems: A Systematic Review
The Lancet Digital Health • 2023
Collaborate with us
Interested in research collaboration? We partner with academic institutions, healthcare organizations, and industry leaders.