Ethical, Proactive, Industrial and Collaborative (EPIC) Multi-modal AI for Health Care

Distinguished Speaker Series: AI & Health Science

July 22, 2025 • 11 am
Clinical and Translational Research Center (CTRC) in the Murphy Room 5019AB,  Downtown Buffalo

Bio

Dr. Luo is Chief AI Officer at Clinical and Translational Sciences Institute (NUCATS) and Institute for AI in Medicine, and a tenured Full Professor at Department of Preventive Medicine, at Feinberg School of Medicine in Northwestern University. Globally recognized for his leadership and significant contributions to biomedical AI, Dr. Luo has been elected as Fellow of the American Institute for Medical and Biological Engineering (AIMBE), Fellow of the American College of Medical Informatics (ACMI), Fellow of the American Medical Informatics Association (AMIA), and Fellow of the International Academy of Health Sciences Informatics (IAHSI).

A visionary leader in the field, Dr. Luo is at the forefront of building next-generation biomedical informatics and collaborative AI for healthcare. His exemplary leadership shapes strategies across various levels, ranging from university settings to entire health systems to national research consortia. With a commitment to democratizing AI literacy, Dr. Luo has been featured in eminent venues such as The Economist, JAMA Network, Becker's Healthcare and Reuters to share unique visions on delivering data and AI strategies that power Research & Development and drive business value. Dr. Luo has given numerous keynotes to both academia and industry and has chaired multiple conferences and workshops. With a publication record of over 200 peer-reviewed papers, Dr. Luo's work has been cited by scientists across more than 30 different countries and 25 research areas.

Yuan Luo.

Yuan Luo, PhD
Northwestern University Medical School

Chief AI Officer, Clinical and Translational Sciences Institute (NUCATS) and Institute for AI in Medicine

Tenured Full Professor at Department of Preventive Medicine, Feinberg School of Medicine in Northwestern University

Abstract

This talk presents the EPIC (Ethical, Proactive, Industrial, Collaborative) framework for advancing multi-modal AI in healthcare. We explore how scalable, interoperable NLP and LLM tools like FHIR-GPT democratize AI access and integrate diverse health data sources. Applications span from precision medicine in autism and heart failure to equitable resource allocation during crises like COVID-19. By bridging AI with clinical expertise and enabling proactive, ethical, and collaborative innovation, we aim to reshape healthcare delivery and outcomes across institutions.