The Third Workshop on GenAI for Health: Agentic Systems, Clinical Trust, and Future Potential
Abstract
Generative AI (GenAI) has rapidly matured from a promising research direction into an active clinical reality, yet the path to trustworthy, human-centered deployment remains incomplete. Building on two successful GenAI4Health workshops, the field has progressed from exploratory studies and early deployments to increasingly autonomous, agentic AI systems operating across diagnosis, care planning, and patient interaction — raising new and urgent questions about safety, governance, and human oversight. This third workshop convenes machine learning researchers, healthcare professionals, policy experts, and clinical practitioners to address three interconnected frontiers: the rise of agentic, reasoning, and multimodal foundation models for health; the challenge of deploying trustworthy, policy-compliant, and human-collaborative AI in real-world clinical settings; and a forward-looking vision for ambient, conversational, and embodied AI systems that reshape how care is delivered, documented, and experienced. Our goal is to advance GenAI that is not only technically capable but also safe, equitable, and ready to earn the trust of patients, clinicians, and the institutions that serve them.