Agenda

Welcome & Opening Remarks

Curtis Langlotz, MD, PhD, Senior Associate Vice Provost for Research, Professor of Radiology and Biomedical Informatics, Director of Stanford AIMI, Senior Fellow of Stanford HAI, Stanford University

2025 AIMI Symposium Co-Chairs:

Roxana Daneshjou, MD, PhD, Assistant Professor of Biomedical Data Science and Dermatology, Stanford University
Ethan Goh, MD, Executive Director, Stanford AI Research and Science Evaluation, Stanford University

Keynote Talk: Closing the Gap between AI Capabilities and Health System Readiness

Julia Adler-Milstein, PhD, Professor of Medicine, Chief of the Division of Clinical Informatics & Digital Transformation, University of California, San Francisco

Panel 1:  Hard-Won Lessons from the Front Lines of Clinical AI

Toyin Falola, MD, Associate Vice President, Clinical Strategy & Product Development, Providence Health
Ray Chen, MD, Head of Clinical AI, Ambience Healthcare
Sneha Jain, MD, Clinical Assistant Professor, Department of Medicine, Division of Cardiovascular Medicine, Stanford University
Joseph Izzo, MD, Chief Medical Information Officer, San Joaquin General Hospital

Moderated by: Angela Aristidou, PhD, Faculty Fellow, Digital Economy Lab, Stanford Human-Centered AI Institute, Stanford; Assistant Professor, University College of London

Scientific Talks

• Quality Assurance During the Rapid Implementation of an AI-Assisted Clinical Documentation Support Tool - Carol Cain, PhD, Executive Director, Clinical Information Services, The Permanente Federation, Kaiser Permanente
• Using an LLM for Frontline Providers to Identify Healthcare-associated Infections Across 11 hospitals - Daniel Morgan, MD, MS, Professor of Epidemiology and Infectious Disease, University of Maryland School of Maryland / VA Maryland Healthcare System

Panel 2:  Foundation Model Roadmap: What Health AI Teams Need to Know

Emily Alsentzer, PhD, Assistant Professor of Biomedical Data Science and, by courtesy, Computer Science, Stanford
Karan Singhal, MS, Health AI Lead, OpenAI
Khaled Saab, PhD, Research Scientist, Google DeepMind
Marinka Zitnik, PhD, Associate Professor of Biomedical Informatics, Harvard Medical School

Moderated by: Ethan Goh, MD, Executive Director, Stanford AI Research and Science Evaluation, Stanford University

AI Innovation Showcase: Lightning Talks from the Next Generation of Health AI Startups

• SurgeCare: Driving Precision Medicine by Decoding the Human Immune System - Brice Gaudillere, MD, PhD, Associate Professor of Anesthesiology, Perioperative and Pain Medicine, Stanford University; Co-Founder, SurgeCare
• Empowering Human Flourishing: A Six-Week, Multi-Institutional Randomized Controlled Trial of an AI-powered Well-being Digital Intervention - Xuan Zhao, PhD, CEO & Co-founder, Flourish Science
• Clinical Mind AI: Improving Clinical Reasoning with AI - Marcos Rojas, MD, PhD(c), Research Manager (Chariot Lab), Clinical Mind AI, Stanford University

Panel 3:  Preparing Clinicians for an AI-Enabled Future

Eric Horvitz, MD, PhD, Chief Scientific Officer, Microsoft
Daniel Ting, MBBS, BMedSci, M.Med, FAMS, PhD, Associate Professor, Duke-NUS; Chief Digital and Data Officer, Singapore National Eye Centre
Julie Tsu-Yu Wu, MD, PhD, Staff Physician, Veterans Affairs
Daniel Yang, MD, Vice President of Artificial Intelligence and Emerging Technologies, Kaiser Permanente

Moderated by Roxana Daneshjou, MD, PhD, Assistant Professor of Biomedical Data Science and Dermatology, Stanford University

Scientific Talks

• MedAgentBrief: Development and Scalable Evaluation of an AI Hospital-Course Summarizer for Real-World Deployment - Francois Grolleau Raoux, MD, MPH, PhD, Postdoctoral Scholar, Jonathan Chen Lab, Stanford University
• Toward Scalable Clinical Evaluation: Building Ground Truth for Discharge Summaries Using LLMs - Vasiliki (Vicky) Bikia, PhD, Postdoctoral Scholar, Roxana Daneshjou Lab, Stanford University
• Towards AI-Assisted Surgery and Surgical Training - Xiaohan Wang, PhD, Postdoctoral Scholar, Serena Yeung Lab, Stanford University

Panel 4:  ROI: Which AI Solutions are Likely to Scale?

Lynne Chou O’Keefe, MBA, Founder & Managing Partner, Define Ventures
Galym Imanbayev, MD, MBA, Partner, Lightspeed Venture Partners
Fabiënne ter Huurne, MSc, Global Market Access Manager, Bayer
Christine Nguyen, MD, MS, Senior Director and Medical Director, Quality Transformation, Inland Empire Health Plan

Moderated by Justin Norden, MD, MBA, MPhil,  Founder and CEO, Qualified Health; Adjunct Professor, Stanford School of Medicine Department of Biomedical Informatics and Research

Lightning Talks

• Dimitry Tran, MBA, Co-Founder, Harrison.ai
• Kimberly Chun, BS,  Global Strategic GTM - North America & Asia Pacific, Cohere
• Jayodita Sangvhi, PhD, Head of AI Platform, Color
• Daniel Golden, PhD, Machine Learning Lead, Google Health
• Krishnaram Kenthapadi, PhD, Chief Scientist, Clinical AI, Oracle Health AI

Panel 5: Publishing Health AI: How Journals Are Shaping the Future of Health AI

Charlotte Haug, MD, PhD, Executive Editor, NEJM AI
Yulin Hswen, ScD, MPH, Associate Professor, UCSF, UC Berkeley; Associate Editor, JAMA & JAMA+ AI
Chris Paton, BMBS, BMedSci, MBA, DPhil, Associate Professor in Health AI, University of Auckland; Editor in Chief, BMJ Digital Health & AI

Moderated by Nigam Shah, MBBS, PhD, Professor of Medicine (Biomedical Informatics) and Biomedical Data Science; Chief Data Scientist, Stanford Health Care; Co-Director of Stanford AIMI, Stanford

Fireside Chat:  A Policy Perspective for Moving Clinical AI Forward

Michelle Mello, JD, PhD, MPhil, Professor of Law and of Health Policy, Stanford University
Julia Adler-Milstein, PhD, Professor of Medicine, Chief of the Division of Clinical Informatics & Digital Transformation, University of California, San Francisco

Moderated by Kevin Schulman, MD, MBA, Interim Co-Chief, Division of Hospital Medicine, Stanford/ Professor of Medicine, Stanford/ Associate Chair, Department of Medicine/ Director, MCiM Program, Stanford

Closing Discussion

Curtis Langlotz, MD, PhD, Senior Associate Vice Provost for Research, Professor of Radiology and Biomedical Informatics, Director of Stanford AIMI, Senior Fellow of Stanford HAI, Stanford University
Roxana Daneshjou, MD, PhD, Assistant Professor of Biomedical Data Science and Dermatology, Stanford University
Ethan Goh, MD, Executive Director, Stanford AI Research and Science Evaluation, Stanford University
Nigam Shah, MBBS, PhD, Professor of Medicine (Biomedical Informatics) and Biomedical Data Science; Chief Data Scientist, Stanford Health Care; Co-Director of Stanford AIMI, Stanford