Duke AI Health

Promoting world-class AI health research across Duke and beyond

Duke AI Health: What We Do

AI Research

We perform cutting-edge quantitative research, including foundational research, application development, technology infrastructure, and model assessment methodology.

Community of Practice

We bring together learners, practitioners, and experts in the fields of machine learning, artificial intelligence, and health data science.

Fellowship Program

We train the next generation of health data scientists with both methodological rigor and innovation, as well as healthcare relevance and impact.

Clinical Data Science & Analytics Hub

We work with clinical departments to connect investigators with methodologists, and invest in quantitative staff skills, resulting in meaningful analyses and high-quality results.

Institutional Collaboration

We support AI and health data science development across Duke, incubating programs and people.

External Partnerships

We collaborate beyond Duke to develop concepts, solve problems, and create opportunities.

Instilling Ubiquitous Data Science Excellence Across Duke

Duke AI Health connects, strengthens, amplifies, and grows multiple streams of theoretical and applied research on artificial intelligence and machine learning in order to answer the most urgent and difficult challenges in medicine and population health.

Designed as a multidisciplinary, campus-spanning initiative, AI Health harnesses expertise and insights across multiple schools, centers, and institutes at Duke to bring to bear the power of machine learning and related quantitative fields on medicine, healthcare delivery, and the health of individuals and communities.

latest

Duke Research Summit 2024 Impact Report

Thinking about attending the second annual Duke Summit on AI for Health Innovation, co-hosted by Duke AI Health and the Duke Center for Computational and Digital Health Innovation this October? Check out…

The Duke Machine Learning Summer School Returns for 2025!

Earlier this June, the Duke Machine Learning Summer School 2025: Generative AI (MLSS-GenAI) concluded its five-day in-person series of classes focused on the fundamentals of generative artificial intelligence methods and applications. Sponsored…

Registration Open for Fall 2025 Scientific Writing Workshop Series

The Duke AI Health Community of Practice is pleased to announce our third Foundations of Scientific Writing Workshop Series, which will take place in the fall of 2025. Intended primarily…

AI Health Director Michael Pencina Takes Part in Newsweek Panel on AI in Healthcare

Duke AI Health Director Michael Pencina, PhD, recently took part in webinar hosted by Newsweek. The webinar, titled “”Health Care’s AI Playbook: Building Safe, Smart and Scalable Systems,” covered topics in AI…

Eat Well “Prescription Produce” Study Presents Initial Findings at SGIM

Dr. Connor Drake, Assistant Professor, Department of Population Health Sciences, represented a team of researchers from Duke Health, Duke Department of Population Health Sciences, and CACHE as he presented the…

Revisiting the Duke Critical Care Datathon

This spring’s Duke Critical Care Datathon brought together more than 150 clinicians, data scientists, engineers, and students from across Duke University, Research Triangle Park and beyond for a three-day exploration…

AI health leadership

Michael Pencina

Director

Shelley Rusincovitch

Managing Director

Ben Goldstein

Director of Data Science

Richard Shannon

Senior Advisory Board

Invest In Our Future

At Duke University School of Medicine, donors play a vital role in fostering innovation, enhancing patient care, and training the next generation of health care leaders. Your contributions not only sustain and elevate existing programs but also pave the way for groundbreaking discoveries.

Learn more about the MADE FOR THIS campaign and supporting Duke Health by visiting the Giving to Duke Health website.