Duke AI Health
Duke Ethical and Equitable Data Science
Developing, evaluating and implementing artificial intelligence for health at Duke and beyond
QUALITY | DATA | EVALUATION | EDUCATION | RESEARCH
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 at the University 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
Chief AI Health Scientist Ricard Henao Named Associate Professor
Duke AI Health congratulates Chief AI Health Scientist Ricardo Henao, PhD, on his promotion to the rank of Associate Professor in the Department of Biostatistics and Bioinformatics in the Duke…
Duke AI Health Director Michael Pencina Surpasses 100K Citations for Academic Research
Duke AI Health Director and Vice Dean for Data Science Michael J. Pencina, PhD, has achieved a major academic milestone: according to Google Scholar’s analytics, he has recently passed the…
Request for Comments: Coalition for Health AI’s White Paper on Bias, Equity, and Fairness
As a member of the Coalition for Health AI, Duke AI Health is working to develop a consensus-driven framework to drive high-quality health care through the adoption of credible, fair,…
