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

DISS2025 Keynote by Michael Pencina Explores AI’s role in Biostatistics

The 2025 Duke Industry Statistics Symposium (DISS2025) was successfully held in Durham, NC, from April 9–11, drawing more than 250 participants. The symposium, centered on the theme “Driving Clinical Research Forward…

12th Duke Machine Learning Summer School, June 2-6, 2025

The Duke AI Health Community of Practice is pleased to announce the Duke Machine Learning Summer School 2025: Generative AI (MLSS-GenAI), a 5-day, in-person class that provides lectures on the fundamentals of generative…

AI Health Readership Survey Impact Results

Thank you to everyone who participated in Duke AI Health impact survey! We received a lot of great feedback, and we look forward to sharing the results in next month’s newsletter. As…

PCORI Grant Advances Digital Symptom Monitoring at Duke

The Patient-Centered Outcomes Research Institute (PCORI) has awarded Duke University Health System funding to implement electronic monitoring of patients’ self-reported symptoms during cancer treatment. This project integrates Duke’s strengths in…

Harmonizing Data to Improve Stroke Risk Prediction

Research in stroke risk prediction is enhanced by the inclusion of a broad range of data from different patient cohorts that strengthen the evidence for the scientific questions being investigated.…

Duke Responsible AI Symposium: Content and Recordings Now Available

The recent 2025 Responsible AI Symposium, co-sponsored by The Society-Centered AI Initiative at Duke, the Duke Artificial Intelligence Master of Engineering, Duke AI Health, the Duke Office of Climate and Sustainability,…

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.