Research

Illustration showing a glowing AI driven human profile and interconnected data icons representing clinical decision support, digital twins, health equity, secure data sharing, and collaborative healthcare research.

AI CoLab Research

Artificial intelligence is transforming how healthcare research is designed, conducted, and translated into practice. The AI CoLab advances applied AI research that improves clinical care, strengthens health systems, and promotes health equity through responsible, data driven innovation. Our research integrates real world clinical data, machine learning, digital health technologies, and interdisciplinary expertise across MedStar Health and Georgetown University. We focus on developing and evaluating AI methods that are clinically meaningful, ethically grounded, and scalable within real healthcare environments. AI CoLab research advances artificial intelligence across the full lifecycle of healthcare research and translation. Our work emphasizes clinically meaningful, methodologically rigorous, and responsible AI applications that operate within real world health system environments.

Research Focus Areas

Clinical AI & Decision Support

Digital Twins, Predictive Risk, and Remote Monitoring

Natural Language Processing and Multimodal Data

AI Validation

Privacy Preserving Data Infrastructure

AI Workforce Development

Read AI CoLab Research


Technology: Voice assisted, digital Twin, remote monitoring

Machine learning to identify heart risks in pregnant patients

AI applications using Electronic Health Records (EHR)

Natural Language Processing (NLP) on free-text data