Agenda

Welcome & Opening Remarks

• Curt Langlotz, MD, PhD - Senior Associate Vice Provost for Research, Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine, of Biomedical Data Science; Senior Fellow at the Stanford Institute for Human-Centered AI; Director of Stanford Center for Artificial Intelligence in Medicine and Imaging
• Umar Mahmood, MD, PhD - Chair and Professor of Radiology, Stanford University 

AIMI Symposium 2026 Co-Chairs:

• Christian Bluethgen, MD - Assistant Professor of Radiology, Stanford University
• Eun Kyoung (Amy) Hong, MD, PhD - Assistant Professor of Radiology, Stanford University 

Morning Keynote: The Art of Artificial Reasoning

• Yejin Choi, PhD - Dieter Schwarz Foundation Professor of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence, Stanford University
• Moderator: Nigam Shah, MBBS, PhD - Professor of Medicine (Computational Medicine), of Biomedical Data Science and, by courtesy, of Computer Science, Stanford University; Chief Data Scientist, Stanford Health Care; Co-Director, Stanford Center for Artificial Intelligence in Medicine and Imaging

Session 1: Advances in AI Methods and Clinical Intelligence

New AI approaches and their potential in clinical care, highlighting the scientific advances that are shaping the next generation of clinical AI, and the factors that influence whether they translate into meaningful impact in practice.

• AI Agents to Accelerate Biomedical Research - James Zou, PhD - Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering, Stanford University
• Enabling a New Model of Healthcare with Collaborative AI Agents - Vivek Natarajan - AI Researcher, Google DeepMind
• Advancing Visual Reasoning Capabilities in Biomedicine - Serena Yeung-Levy, PhD - Assistant Professor of Biomedical Data Science and, by courtesy, of Electrical Engineering and of Computer Science, Stanford University
• Moderator: Christian Bluethgen, MD - Assistant Professor of Radiology, Stanford University 

Data as the Foundation for Clinical AI

AIMI’s vision for how large-scale, AI-ready clinical data can enable the development, evaluation, and real-world impact of modern health AI.

• Roxana Daneshjou, MD, PhD - Assistant Professor of Biomedical Data Science and of Dermatology and, by courtesy, of Radiology, Stanford University 

Session 2: Human-AI Collaboration in Clinical Workflows

Real-world examples of how AI systems are designed and implemented in clinical workflows, with a focus on human–AI interaction and what drives adoption and impact in practice.

• From Vision to Value: Designing High-Impact AI-Augmented Care - Sneha Jain, MD, MBA - Clinical Assistant Professor, Medicine, Stanford University
• The Right Prediction at the Right Time: Designing AI for Clinical Workflows - Jenna Wiens, PhD - Professor of Computer Science and Engineering, Associate Director of the Artificial Intelligence Lab; Co-Director of AI & Digital Health Innovation, University of Michigan
• Agentic AI in Echocardiography Interpretation - David Ouyang, MD - Research Scientist and Staff Cardiologist, Kaiser Permanente
• Moderator: Christian Bluethgen, MD - Assistant Professor of Radiology, Stanford University 

Session 3: Building and Scaling Health AI from Industry to Practice

What it takes to build and scale AI products in real healthcare markets, including the economic, operational, and market realities that determine whether they succeed in practice.

What’s Working Now: Real-World Deployments in Health AI

• From Concept to Clinical: Scaling ChatEHR at Stanford Health Care - Nerissa Ambers, MPH - Director Health Informatics Transformation, Stanford Health Care
• Mind the Gap: What Your Product Does vs What the User Needs - Ohad Arazi, JD - President and CEO, Subtle Medical
• Louis Blankemeier, PhD - Co-Founder and CEO, Cognita
• The Standard Model for Biomedicine - Kevin Brown, MS - Founder and CEO, Standard Model Biomedicine
• Beyond Accuracy: Interface Design as A Safety Variable in Clinical AI Deployment - Rachel Kuo, MB BChir, MA (Cantab), MRCS, PGDip - Plastic and Reconstructive Surgery Resident, NIHR Doctoral Research Fellow, University of Oxford
• Opening up the BlackBox: Scaling Ambient Intelligence and Governance in the Operating Room - Chloe Nobuhara, MD - General Surgery Resident - Stanford University
• Beyond Accuracy: Lessons from a Decade of Scaling Cancer AI in Radiology and Pathology - Anthony Paek, PhD - Co-Founder and Executive Chairman, Lunit

Panel: What It Takes to Scale Health AI in Practice 

• Cameron Chen, PhD - Research and Engineering Lead HealthAI, Google
• Nish Khandwala, MS - Co-Founder and CEO, Bunkerhill
• Hui Cheng, BA - Principal, Healthcare Investing Team, New Enterprise Associates (NEA)
• Nikesh Kotecha, PhD - Head of Data Science, Stanford Health Care
• Paxton Maeder-York, MS - Partnerships, Anthropic
• Firas Wehbe, MD, PhD, FAMIA - Senior Healthcare and Life Sciences Executive Advisor - AWS
• Moderator: Eun Kyoung (Amy) Hong, MD - Assistant Professor of Radiology, Stanford University 

Afternoon Keynote: OpenEvidence

• Zachary Ziegler - CTO and Co-Founder, OpenEvidence
• Moderator: Natalie Pageler, MD - Clinical Professor, Associate Dean for Maternal Child Health and Division Chief of Clinical Informatics in the Department of Pediatrics, Stanford Medicine

Session 4: Health AI Deployment: Navigating Decisions and Constraints

Panel discussion on how regulatory pathways, risk considerations, and organizational decision processes shape and are navigated in the deployment of AI in clinical settings.

• Alex Cadotte, PhD - Vice President, Regulatory Affairs, Head of Digital Health, AI, and Radiology, MCRA
• Heidi Collins, MPH - Vice President, Chief Application Officer, Stanford Health Care
• Zach Harned, JD, MS - Attorney, Fenwick & West
• Heather Chait, MBA, DPM - AI Ecosystem Lead, Philips
• Sam Schmidgall, PhD - Research Scientist, Google DeepMind
• Moderator: Kavita Patel, MD - Professor (Teaching) of Medicine, Stanford University 

Closing Remarks

• Christian Bluethgen, MD - Assistant Professor of Radiology, Stanford University
• Eun Kyoung (Amy) Hong, MD - Assistant Professor of Radiology, Stanford University 

Poster Session & Reception