AI Agent in Healthcare
Event Description
AI agents are moving from demo to deployment in medicine — triaging patients, drafting clinical notes, navigating prior authorizations, and autonomously executing multi-step workflows that once required human hands at every stage. But between the hype and the hospital floor sits a maze of open questions: reliability, liability, regulation, and trust.
This panel brings together the people building, deploying, and evaluating AI agents in clinical settings to unpack what agents can actually do today, where they break, and what it will take for autonomous systems to earn a place in the care pathway.
Why Attend
You'll walk away with insights into:
How builders scope an agent's first use case — which clinical and administrative workflows are actually deployable today, and which are still demos.
What it takes to design for the clinic: EHR integration, human-in-the-loop guardrails, and building the reliability clinicians demand before they'll trust an autonomous system
Hard-won deployment lessons — pilot-to-production pitfalls, winning clinical champions, and the product choices that made or broke adoption
Ideal For
Founders & Builders: Developing AI-powered tools for clinical or administrative workflows.
Clinicians & Health-System Leaders: Evaluating whether and how to safely integrate AI agents into practice.
Researchers, Investors & Policy Minds: Tracking the frontier of autonomous AI in healthcare.
Program Agenda
6:00 PM – 6:15 PM · Check-in & Networking
6:15 PM – 6:20 PM · Opening Remarks
6:20 PM – 7:00 PM · Moderated Panel Discussion
7:00 PM – 7:10 PM · Audience Q&A
7:10 PM – 8:30 PM · Networking & Closing
Panelists
Kadeen Mckeen Kaden McKeen is a fourth-year PhD candidate at the University of Toronto and the Vector Institute, supervised by Dr. Anna Goldenberg and Dr. Bo Wang. His current project builds agents for clinical ECG interpretation and studies them through LLM behavioral evaluation.
He is first author of ECG-FM, an open foundation model for electrocardiograms. Passionate about clinical deployment, he is currently working to deploy ECG-FM in-hospital. More broadly, he is interested in AI agents and how using them affects our brains; he also develops work-buddy, a self-improving meta-harness specialized for knowledge work and designed to empower agents to adapt to an individual's working life.
Elly Zhou Elly Zhou is a final-year PhD candidate at the University of Toronto, where she develops AI-powered digital twins of human organs to advance therapeutic evaluation. She also serves as Director of Scientific and Technical Strategy at The Human Puzzle. Her work bridges biomedical research, AI, and translational science, bringing a research-driven perspective to discussions on moving healthcare innovation into real-world practice.
Briana Layard is a Registered Nurse with a clinical background in general medicine, cardiology, and clinical trials. She has a Master of Health Science in Health Administration from U of T, and is currently a fellow in the 2025 Cohort of the AMS-Fitzgerald Fellowship in Human-Centred Leadership and AI. She is the Clinical Lead for Research and AI within the Peter Munk Cardiac Centre AI team. She is an Assistant Continuing Education Instructor at UHN’s Michener Institute of Education for the AI in Nursing Practice Course.
About Us
The Human Puzzle is a not-for-profit organization dedicated to bridging the gap between breakthrough discovery and systemic implementation.