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.
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Registration now open for the March 13-14 Duke Symposium on Fostering AI/ML Research for Health Equity and Learning Transformation (FAIR HEALTH™)
We are thrilled to invite you to our upcoming symposium, Fostering AI/ML Research for Health Equity and Learning Transformation (FAIR HEALTH™), scheduled for March 13-14, 2024, at the Duke University…
Advancing Healthcare Equity through AI/ML Innovation: Duke hosts FAIR HEALTH Workshop on Algorithmic Bias in Healthcare
Monday, January 8, 2024: Duke University recently hosted the Fostering AI/ML Research for Health Equity and Learning Transformation (FAIR HEALTH) Workshop at the Kirby Horton Hall in the scenic Sarah…
Duke’s Quantitative Expertise Shines at the Health Data Science Poster Showcase
By Jessica Johnstone Friday, December 8, 2023 was a lively day as the Sarah P. Duke Gardens, Kirby Horton Hall was transformed into a hub of quantitative activity, hosting the…