Duke University School of Medicine is home to multiple initiatives and centers aimed at advancing the frontiers of artificial intelligence and machine learning in medicine and healthcare. The School encompasses a broad array of multidisciplinary collaborations in AI for healthcare focused on discovery science, clinical research, patient care, community engagement, governance, and education and training.
Duke AI Health
Duke AI Health’s core mission is to advance research, training, and education in artificial intelligence, machine learning, and data science applications for health and healthcare. As a multidisciplinary, campus-spanning initiative housed in the Duke University School of Medicine, AI Health leverages expertise across various schools, centers, and institutes to apply AI, machine learning, and related quantitative fields to medicine, healthcare delivery, and the well-being of individuals and communities.
Duke Health AI Evaluation and Governance (E&G) Program
The Duke Health AI Evaluation & Governance (E&G) Program is dedicated to fostering continuous advancements in research and framework development for responsible health AI. This program supports initiatives that ensure the reliable selection, development, deployment, and utilization of AI technologies. E&G connects experts across Duke and engages in collaborative efforts internally, nationally, and internationally.
Discovery AI
Discovery AI, located within the Duke University School of Medicine and encompassing multiple schools, departments, and institutes across campus, focuses on integrating artificial intelligence with fundamental biological research. Its primary mission is to revolutionize the interrogation and engineering of biological systems across all scales, from molecular and cellular to tissue levels.
AI in the News
This section showcases recent news and articles highlighting Duke's innovative work in artificial intelligence. Featured topics include exploring the potential risks of AI in providing health advice, the acceleration of Discovery AI initiatives, developing new AI-driven drug delivery techniques using nanoparticles, leveraging AI tools to predict teen mental illness, identifying early signs of autism through electronic health records and machine learning, and using AI to understand chronic fatigue syndrome. It also covers AI tools for prostate cancer treatment, new AI models for faster drug discovery, and Duke's efforts in setting national standards for safe and scalable AI in healthcare.
