The Global Advances in Medical Artificial Intelligence cluster aims to advance medical artificial intelligence (AI) by developing, evaluating, and scaling AI solutions for risk prediction, screening, and diagnosis. These solutions will not only be safe and effective, but also compatible with clinical workflows and scalable across diverse healthcare settings. Our cluster vision directs attention to transformational AI care models by drawing from multiple disciplines, including the business of health, data and decision sciences, human-AI interaction, nursing, and public health, to improve health productivity, access, and equity. We focus on developing medical AI that improves risk-based prediction and screening, enhances diagnostic accuracy, reduces health disparities, integrates seamlessly into diverse clinical workflows, and scales effectively across settings and populations. Guided by rigorous science and clinical insight, we design, evaluate, and implement AI tools that prioritize real-world application and foster meaningful human-AI collaboration.
Cluster Leads
- Kathy McDonald, Bloomberg Distinguished Professor of Health Systems, Quality and Safety
- Tinglong Dai, Bernard T. Ferrari Professor, Carey Business School
Eye on AI: Global Advances in Medical AI
March 4, 2026 from 8am – 5pm
Johns Hopkins University
Carey Business School
Baltimore, Maryland
Closed Workshop (~75 participants)
Eye on AI convenes international thought leaders and Johns Hopkins faculty to examine how regulated medical AI can deliver measurable health gains—and what scholarship, infrastructure, and governance are needed to scale those gains responsibly.
The morning session focuses on ophthalmology as the testbed for regulated AI’s ability to improve patient outcomes, and considers the roles of evidence, economics, organizations, ethics, and equity. The afternoon session focuses on interdisciplinary scholarly recommendations and steps needed to maximize health gains from all regulated AI on a global scale.
Registration
Event Speakers
- Michael Abramoff, MD, PhD, Digital Diagnostics
- Roomasa Channa, MD, University of Wisconsin
- Kelly Gleason, PhD, BSN, RN, Johns Hopkins University
- Charlotte Haug, MD, PhD, Executive Editor of NEJM AI
- Gudmund Hernes, PhD, Fafo Institute in Oslo and BI Norwegian School of Management
- Pearse Keane, MD, University College London
- Alvin Liu, PhD, Johns Hopkins University
- Michelle Tarver, MD, PhD, Food and Drug Administration
- Risa Wolf, MD, Johns Hopkins University
Event Agenda
Contacts
- Dawnn Wienecke – Logistics/ Support- [email protected]
- Rinika Putatunda – Event Content – [email protected]