Research & Innovation
CAMA conducts interdisciplinary research focused on developing, testing, and validating artificial intelligence technologies for real-world healthcare settings. Our studies emphasize data quality, interoperability, and model transparency to ensure reproducible and trustworthy outcomes. By bridging the gap between algorithmic design and clinical application, we advance evidence-based innovations that enhance safety, efficiency, and patient well-being.
Education & Training
Empowering clinicians, researchers, and policymakers with the knowledge to understand, evaluate, and responsibly deploy AI in healthcare.
Policy & Governance
We collaborate with regulatory bodies, academic institutions, and global partners to shape policy frameworks for safe, ethical, and equitable AI adoption. CAMA develops practical guidance and governance models that align with international standards and best practices.
Data Science Acceleration
CAMA actively advances data science and informatics by developing and applying analytical frameworks that enhance data quality, interoperability, and clinical relevance across healthcare AI systems. Through collaboration with researchers and public health agencies, we transform complex health data into actionable intelligence that supports safe, equitable, and evidence-based decision-making.