Schedule of Events
All times listed are CDT.
8:00 AM - 8:15 AM | Registration and Breakfast Registration and Breakfast | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8:15 AM - 8:30 AM | Opening Remarks Opening Remarks: Dr. Cui Tao | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8:30 AM - 9:15 AM | ![]() AI and Health Care: What the World Needs The promise of artificial intelligence in health care appears so tantalizing and yet the actual tangible impact in the lives of health care professionals is only beginning to crystallize. We will review what the health care world needs from AI, promising examples of AI impact developed within and outside of Mayo Clinic, and the infrastructure and enablement capabilities created by Mayo Clinic Platform to advance the discovery, validation, and deployment of AI-powered solutions for health care. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:15 AM - 9:45 AM | Moderator: Cui Tao, PhD, Mayo Clinic, Jacksonville, FL Keynote: Clark Otley, Mayo Clinic Platform Vitaly Herasevich, MD, PhD, Department of Critical Care Medicine, Mayo Clinic, Rochester, MN Aadel Chaudhuri, MD, PhD, Department of Radiation Oncology, Mayo Clinic, Rochester, MN Terry Therneau, PhD, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN Nasibeh Zanjirani Farahani, PhD, MS, Mayo Clinic Platform ![]() ![]() ![]() ![]() ![]() ![]() Panel Discussion Panel Discussion | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:45 AM - 10:30 AM | Break & Posters Break & Posters | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
10:30 AM - 11:15 AM | ![]() Towards clinical adoption of AI in Pathology Deep learning is a state-of-the-art pattern recognition technique that has proven extremely powerful for the analysis of digitized histopathological slides. In our work, we explored the application of deep learning across various pathology diagnostics, aiming to support pathologists by increasing accuracy and consistency while reducing workload. This presentation will address the existing translation gap: despite the development of numerous AI models, few have reached clinical implementation. We propose that the next critical step involves large-scale validation with pathologists to evaluate the added value of these algorithms in routine practice. Such studies are essential for certification but are currently lacking in our field, hindering the assessment of deep learning's true potential in pathology diagnostics. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11:15 AM - 12:00 PM | Keynote: Jeroen van der Laak, PhD, Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands Moderator: Peter Lucas, MD, PhD, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN Thomas Flotte, MD, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN Wenchao Han, PhD, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN David McClintock, MD, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN Jansen Seheult, MB, BCh, BAO, MD, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN ![]() ![]() ![]() ![]() ![]() ![]() Panel Discussion Panel Discussion | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12:00 PM - 1:00 PM | Lunch Lunch | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1:00 PM - 1:45 PM | ![]() LLM for Clinical Evidence Extraction, Retrieval, and Summarization In medicine, our understanding of diseases, treatments, and preventive measures is perpetually advancing. Despite this, the existing framework of evidence-based medicine (EBM) faces formidable challenges from information overload, as no clinician can catch up with the explosive publication paces, and lacks a robust mechanism for the continuous integration of new evidence. The advent of Generative AI, exemplified by large language models (LLMs)signifies a potentially transformative development in the methodologies employed to collect, appraise, disseminate, and interact with clinical evidence. In this talk, I will discuss our research on addressing the "lost-in-the-middle" issue in evidence retrieval and the fine-tuning of LLMs for effective medical evidence summarization. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1:45 PM - 2:15 PM | Keynote: Yifan Peng, PhD, Department of Population Health Sciences, Weill Cornell Medicine Matt Gill, PhD, Center for Digital Health, Mayo Clinic, Rochester, MN Momin Malik, PhD, Center for Digital Health, Mayo Clinic, Rochester, MN Santiago Romero Brufau, MD, PhD, Department of Otolaryngology, Mayo Clinic, Rochester, MN Nansu Zong, PhD, Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN Moderator: Eric Williamson, MD, Department of Radiology, Mayo Clinic, Rochester, MN ![]() ![]() ![]() ![]() ![]() ![]() Panel Discussion Panel Discussion | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2:15 PM - 3:00 PM | Break & Posters Break & Posters | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3:00 PM - 4:30 PM | Lightning Talks Lightning Talks |
8:00 AM - 8:30 AM | Registration and Breakfast Registration and Breakfast | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8:30 AM - 9:15 AM | ![]() Accelerating Scientific Breakthroughs with AI In the pursuit of scientific advances, researchers combine ingenuity and creativity with insight and expertise grounded in literature to generate novel and viable research directions and to guide the exploration that follows. In many fields, this presents a breadth and depth conundrum, since it is challenging to navigate the rapid growth in the rate of scientific publications while integrating insights from unfamiliar domains. Yet overcoming such challenges is critical, as evidenced by the many modern breakthroughs that have emerged from transdisciplinary endeavors. We'll discuss how recent AI advances are empowering researchers and accelerating discoveries. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:15 AM - 9:45 AM | Moderator: William Freeman, MD, Departments of Neurosurgery and Neurology, Jacksonville, FL Keynote: Greg Corrado, PhD, Google Research Alina Allen, MD, MS, Department of Gastroenterology, Mayo Clinic, Rochester, MN Eric Ehman, MD, Department of Radiology, Mayo Clinic, Rochester MN Eric Klee, PhD, Center for Individualized Medicine, Mayo Clinic, Rochester, MN ![]() ![]() ![]() ![]() ![]() Panel Discussion Panel Discussion | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:45 AM - 10:30 AM | Break & Posters Break & Posters | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
10:30 AM - 12:00 PM | Lightning Talks Lightning Talks | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12:00 PM - 1:00 PM | Lunch Lunch | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1:00 PM - 1:45 PM | ![]() Data-Driven Medicine: Transforming Clinical Insights with Generative AI Mayo Clinic is leveraging generative artificial intelligence to synthesize complex clinical information, develop diagnostic insights and predict best treatment options to enable clinicians to spend more time with the patient in front of them. These solutions will be built on the largest global, longitudinal patient dataset, curated by Mayo Clinic Platform. While distinct solutions exist today, the Generative AI program is developing an integrated system comprised of solutions that reduce administrative burden, improve the practice and transform healthcare. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1:45 PM - 2:15 PM | Moderator: Hamid Tizhoosh, PhD, Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN Keynote: Matthew Callstrom, MD, PhD, Mayo Clinic, Rochester, MN Nneka Comfere, MD, Department of Dermatology, Mayo Clinic, Rochester, MN Daniel Schaid, PhD, Quantitative Health Sciences, Mayo Clinic, Rochester, MN Vijay Shah, MD, Mayo Clinic Gelareh Zadeh, MD, PhD, Mayo Clinic, Rochester, MN ![]() ![]() ![]() ![]() ![]() ![]() Panel Discussion Panel Discussion | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2:15 PM - 3:00 PM | Break & Posters Break & Posters | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3:00 PM - 4:30 PM | Lightning Talks Lightning Talks |