2026 AI CoLab Annual Scientific Meeting - March 16, 2026

Flagship AI healthcare research conference in Washington DC convening industry, academia, government, and innovators in AI and healthcare.

AI CoLab Annual Scientific Meeting - March 16, 2026

AI CoLab Annual Scientific Meeting - AI Healthcare Research and Education

Event Name: AI CoLab Annual Scientific Meeting - March 16, 2026

Location: 2115 Wisconsin Ave, Washington DC, USA

Date: March 16, 2026

Host Institution: AI CoLab (AI CoLab: MedStar-Georgetown Collaborative Center for Artificial Intelligence in Healthcare Research and Education)

Attendees/Audience: The AI CoLab community, stakeholders, and those in AI healthcare or adjacent fields are invited to attend this event to learn more about AI healthcare research and education at the MedStar Health & Georgetown University AI CoLab.

AI CoLab Annual Scientific Meeting

Join us in advancing artificial intelligence in healthcare research and education

The AI CoLab Annual Scientific Meeting is a premier healthcare AI event focused on showcasing real-world applications of artificial intelligence in medical and clinical research. Hosted by the AI CoLab, this annual convening brings together leaders from healthcare, academia, industry, government, philanthropy, and technology to explore how AI is transforming health research, care delivery, and health outcomes. The AI CoLab Annual Scientific Meeting serves as both a knowledge exchange and a strategic platform for partnership development. This event blends the rigor of an academic scientific conference with the accessibility and energy of a strategic innovation showcase. It is designed for stakeholders seeking to understand where AI in healthcare is heading, identify credible research partners, and engage with a growing ecosystem shaping the future of AI-enabled medicine.

The program highlights AI-driven healthcare research, including machine learning in clinical decision support, digital twins, real-world data, health equity applications, regulatory science, and workforce development. Presentations emphasize applied use cases, translational impact, and scalable solutions rather than theoretical models alone. Attendees gain visibility into active and emerging AI healthcare research initiatives and learn how advanced analytics, data science, and artificial intelligence move from research environments into health systems and communities. The meeting also creates a shared space for dialogue across sectors, supporting collaboration between academic researchers, major technology companies, startups, public companies, government agencies, and philanthropic organizations.

Who should attend:

Healthcare and life sciences industry leaders, academic researchers, clinicians, data scientists, policymakers, government agencies, philanthropic organizations, technology companies, startups, investors, and healthcare innovators.

Key focus areas:

Artificial intelligence in healthcare, medical AI research, clinical machine learning, health data science, digital health innovation, health equity, AI governance, translational research.