Amplify Informatics Keynote and Year In Review Sessions
Discover the featured sessions at the AMIA Amplify Informatics Conference, including high-profile keynote and year-in-review presentations exploring the latest trends and future directions in clinical informatics, translational bioinformatics, artificial intelligence, and data science.
Keynote Presentations
The Great Acceleration: AI, Evidence, and the Infrastructure We Must Build
Monday, May 18 | 1:30 - 3:00 p.m.
Healthcare has long accepted the 17-year gap between evidence and practice. AI now promises to close that gap to 17 seconds, synthesizing literature, personalizing evidence, and delivering it at the point of care. But this acceleration is not isolated. It is happening simultaneously across four dimensions that informatics must confront together. First, AI adoption (ambient listening, generative documentation, clinical chatbots) is outpacing our ability to validate effectiveness and safety. Second, scientific production itself is transforming: analyses that would take humans centuries now take days, journal submissions are tripling, and our peer review infrastructure is buckling. Third, multimodal AI is expanding what we can capture (audio, video, imaging) far beyond what current EHR systems were designed to store or make useful. And fourth, personal AI health tools are entering patients' lives at scale, outside traditional clinical oversight. This keynote argues that these four accelerations share a common challenge: our institutions, documentation systems, and validation pipelines were built for a slower world. Drawing on research in NLP and multimodal clinical AI, we will explore what must be reimagined and rebuilt to ensure that acceleration serves patients and clinicians rather than simply outrunning our capacity to know what works.
Advancing Healthspan with AI and Agentic AI: Transforming How We Care, Discover, and Share
Monday, May 18 | 3:30 - 5:00 p.m.
Physician leader and health tech executive, Vivian S Lee, MD, PhD, MBA, will demystify generative AI and agentic AI, technologies that are profoundly shifting workplace productivity, enabling us to reshape our daily work and accelerate thinking with intelligent, proactive assistants. She will explore how these AI advances can transform our individual work, thinking and productivity, revolutionize patient engagement in their health, foster personalized healthcare, and dramatically accelerate the pace and scope of scientific discovery and exploration. Join us to understand the practical applications of AI and how together we can advance healthspan for our communities.
Vivian S. Lee, MD, PhD, MBA
Human in the Loop in 2026: The Mundane, the Profane, and the Insane
Thursday, May 21 | 11:15 a.m. - 12:30 p.m.
Generative AI has moved from novelty to necessity — or has it? We examine three facets of human-AI co-work in 2026. The mundane: quietly useful applications already improving clinical work and also personal productivity at home. The profane: real risks of automation complacency, bias and harm. The insane: the spectacular promises and sober reality checks and quiet failures. A candid look at where we are.
Year In Review Sessions
Translational Bioinformatics
Tuesday, May 19, 2026 | 8:00 - 9:15 a.m
The Translational Bioinformatics Year-in-Review (TBI Year-in-Review) is an annual presentation given by Nicholas Tatonetti, PhD at the AMIA Summit. The talk reviews trends in the translational bioinformatics (TBI) literature, aiming to provide a snapshot of the current state of the field, recognize innovative work, and identify future opportunities. The review process involves triaging and evaluating papers from relevant journals, scoring them based on criteria like informatics novelty, application importance, and "wow factor." The top-scoring papers are highlighted, organized into themed categories inspired by pop songs, and showcased to reflect advancements in linking biological and clinical entities through informatics methods.
Clinical Research Informatics
Wednesday, May 20, 2026 | 8:00 - 9:15 a.m.
The AMIA Clinical Research Informatics (CRI) Year in Review session will provide a comprehensive overview of the most impactful advancements and trends in clinical research informatics over the past year. Dr. Laura Wiley will key findings from groundbreaking studies, emerging technologies, and evolving methodologies that are shaping the future of the CRI. Attendees will gain insights into how informatics is driving innovation in clinical trials, real-world evidence generation, data integration, and patient-centered research. This session is designed to equip researchers, practitioners, and stakeholders with the knowledge to harness informatics for more effective and efficient clinical research.
Clinical Informatics
Wednesday, May 20, 2026 | 2:00 - 3:15 p.m.
The Clinical Informatics Year in Review will debut at the 2026 Amplify Conference, delivering a state-of-the-art snapshot of the most impactful discoveries shaping the future of clinical informatics. Drawing from a rigorous review of more than 50,000 publications, this dynamic session distills the literature into high-yield insights designed to inform real-world transformation and spark new ideas. Presented by Amy M. Sitapati, MD (UC San Diego), this inaugural talk brings broad perspective, energy, and inspiration to the informatics community.
Artificial Intelligence and Data Science
Thursday, May 21, 2026 | 8:00 - 9:15 a.m
The AI and Data Science Year In Review is an annual retrospective that highlights the most significant advancements, challenges, and forward-looking trends in Artificial Intelligence (AI) and Data Science within health and biomedical informatics research. This comprehensive overview showcases the collaborative efforts between clinicians, researchers, and technologists, emphasizing innovations in machine learning models, large language models (LLMs), and generative AI (genAI) that have potential to revolutionize patient care, diagnostics, and therapeutic development. It also examines the integration of multimodal data sources and ethical considerations surrounding AI deployment in clinical settings. The review serves as a vital resource for the informatics community, providing insights into the current state of AI and Data Science, identifying gaps in knowledge, and suggesting directions for future research and application in healthcare to improve outcomes and efficiency.
