Dr. Sam Berchuck, AI Health Faculty affiliate and Assistant Professor of Biostatistics & Bioinformatics, presented recent work from the Duke Cancer Institute (DCI) Center for Onco-Primary Care funded project, “Characterizing pain trajectories in cancer survivors upon return to primary care using mixed methods,” at the DCI Cancer Prevention and Control (CPC) Seminar Series. The team also shared two posters at the CPC Group’s Spring Poster Fair, including one that was awarded Best Poster. These efforts highlight the integration of AI-driven longitudinal modeling and qualitative insights to better understand patterns of pain among breast cancer survivors.

Duke AI Health and the Duke Center for Computational and Digital Health Innovation are thrilled to announce the second annual Duke Summit on AI for Health Innovation, that will take place October 8-9, 2025. This event aims to foster a vibrant community of practice that bridges the medical and engineering fields to advance health-oriented AI development. The summit will spotlight Duke’s expertise in AI product development and healthcare innovation, emphasizing the use of responsible AI to improve health outcomes for patients and communities. Through engaging programming and dynamic discussions, participants will explore how to leverage design thinking principles—empathy, ideation, prototyping, and testing—to ensure user-centered solutions that are practical and impactful. Mark your calendars and join us in shaping the future of AI for health! More details to follow.

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 by the Duke AI Health Community of Practice, the MLSS-GenAI program was led by AI Health Faculty Council Member Ricardo Henao, PhD, an associate professor in the Department of Biostatistics and Bioinformatics in the Duke University School of Medicine. Other seminar teachers included an array of Duke faculty representing biostatistics, engineering, medicine, and biology, as well as former and current Duke AI Health Faculty Affiliates.

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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 governance and implementation for an audience of healthcare system leaders and included other participants representing industry and the nonprofit Coalition for Health AI (CHAI), of which Duke is a founding member. A summary of the event by Newsweek’s Alexis Kayser, together with a complete video recording of the hour-long webinar, is available online via Newsweek (free registration required to access). READ MORE

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 of critical-care data science. Held April 25–27 at the Duke Health Center for Interprofessional Education and Care, the event combined expert-led sessions, hands-on team challenges and prototype presentations to accelerate innovations in patient monitoring, predictive modeling, and clinical decision support. This event was made possible by the generous support of Mark III Systems/NVIDIA and CloudForce. Their commitment to advancing healthcare AI provided essential computing resources, seed data science mentorship and prize funding that empowered participants to push the boundaries of critical-care analytics. We also thank our mentors, judges, and organizers—Jeremy Tan, Gloria Hyunjung Kwak, Ahram Han, Yueran Jia, Nikki Boatenhamer Freeman, Hyeon-Chul Lee and Hyung-Chul Lee—whose expertise and dedication guided each team. Datasets were graciously provided by Seoul National University Hospital, CHoRUS, MIT Critical Data and Epic Cosmos.

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Dr. Michael Cary joined an esteemed panel at the 2025 Symposium for Artificial Intelligence in Learning Health Systems (SAIL), moderated by Dr. Brendan Carr (CEO, Mount Sinai Health System), explored the transformative effects of AI on the healthcare workforce, with a special emphasis on nursing. Alongside Drs. Kenrick Cato (University of Pennsylvania) and Patricia Sengstack (Vanderbilt University), Dr. Cary discussed both the promises and concerns of AI integration, reflecting current challenges and future directions for building a workforce that is AI-ready.

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