Innovations in Medical Education Conference Confronts the AI Tipping Point
Leaders from the University of Miami Miller School of Medicine and beyond explored how artificial intelligence is reshaping medical education, raising urgent questions about ethics, timing and the future of human-centered training
At the 2026 Innovations in Medical Education Conference, hosted by the University of Miami Miller School of Medicine, the central question was not whether artificial intelligence would shape the future of medical training, but how quickly educators could adapt to keep pace with it.
“We are meeting at a remarkable moment in the evolution of medical education,” said Latha Chandran, M.D., M.P.H., M.B.A., executive dean for education and policy, the Bernard J. Fogel Chair in Medical Education and founding chair of the Department of Medical Education. “AI is already here, embedded in the tools and systems we work within. The question is how we will shape AI in the future of medical education.”
This year’s conference drew 264 registrants, including international attendees from Australia, Brazil, Canada, Germany, Oman, Portugal, Qatar and Spain.
AI’s Promise and Challenge
Few framed that tension as sharply as Patrick Tighe, M.D., professor of anesthesiology and associate dean for AI applications and innovations at the University of Florida College of Medicine. Dr. Tighe’s plenary on AI and the future of medical education argued that technological progress must remain moored to the human mission of health care.
“We have to stay ahead of the curve of innovation because we are here to help patients,” he said. “AI should help us embrace our mission to care for others in more meaningful ways.”
Dr. Tighe underscored that new reasoning models, such as process-supervised reward systems that verify each step of an output, will reshape how trainees learn. But if introduced at the wrong time, he warned, AI can “mis-skill” learners. He cited a study of Polish endoscopists who, after relying on AI for three weeks, performed worse once the technology was removed. Timing and intentionality matter.
“Your trainees will use agents. It will become an inevitability,” he said. “But if these tools are misapplied, we risk cognitive decline. Used at the right time, they can escalate performance beyond what we thought possible. The key is giving AI very specific missions and understanding what we are trying to achieve.”
Artificial Intelligence Ethics Beyond the Basics
The conference’s ethical lens deepened with keynote speaker Ken Masters, Ph.D., a professor of medical informatics in the Department of Medical Education and Informatics at Sultan Qaboos University, Oman. He charted the potential spectrum of AI integration, from a mere tool to a collaborator, confidant or even an authority surpassing human capabilities.
He described real-world risks — autonomous agents deleting entire inboxes despite human intervention, embodied AI agents likely to appear in educational and clinical settings and the increasingly common phenomenon of students forming relationships with AI tutors and peers.
Dr. Masters also raised the prospect of artificial general intelligence, emphasizing its capacity for recursive learning and potentially seismic outcomes.
His core takeaways:
• The basics matter. It is right to address them now.
• AI ethics in medical education must expand to consider society-wide implications, corporate influence and the long-term human-AI relationship.
• These issues can be addressed if we acknowledge them and begin to address them now on a global scale.
Can AI Teach Students to Be Better Communicators?
Several speakers pressed beyond technical topics to ask whether AI can enhance quintessentially human skills like communication, empathy and professionalism. The answer, it seems, depends on design and context. Many agreed that AI-mediated simulations could help students practice difficult conversations, provided faculty can evaluate both the learner and the tool’s output.
“If you cannot evaluate the output, do not use it,” cautioned Nicholas Tsinoremas, Ph.D., vice provost for research computing and data and founding director of the University of Miami Frost Institute for Data Science and Computing, who noted that education is now one of AI’s most active innovation zones. “This will change the way we deliver education.”
Cultural Change and Faculty Realities
AI integration is not simply a technological challenge but a cultural one, said Barry Issenberg, M.D., a Miller School professor of medicine and director of the Gordon Center for Simulation and Innovation in Medical Education.
“At any point, you may have faculty at very different stages of integration — innovators, early adopters and those just beginning,” Dr. Issenberg said. “The first step is reminding everyone of our goal to train learners who will care for patients safely and ethically.”
He emphasized peer-driven adoption rather than top-down directives.
“We’re not asking faculty to blindly adopt tools, but to think critically about how to use them,” Dr. Issenberg said.
Alexis Rossi Aguirre, Ph.D., director of Medbiquitous at the Association of American Medical Colleges (AAMC), said that the AAMC is facing many of the same challenges as local institutions.
“You can have the best AI tool, but if your infrastructure can’t use it, it won’t matter,” Dr. Aguirre said. “We need to collaborate as a field, across organizations and across the health sciences, to meet this global moment.”
Skill-Building Workshops, Live Demos and Industry Perspectives
Beyond keynotes and panels, the meeting offered hands-on opportunities:
• Prompt engineering workshops taught faculty and learners to interact with AI systems intentionally and safely.
• Sessions on competency-based medical education with AI explored personalized learning plans and AI-augmented milestone tracking.
• Workshops on building and using AI agents showcased how autonomous tools can streamline research, analytics and administrative tasks.
• Live demonstrations gave participants a firsthand look at AI-driven educational platforms already in use across health professions programs.
The conference concluded with a panel on industry partnerships, featuring representatives from Microsoft and Aidoc and faculty from the University of Miami. Panelists debated data governance, transparency and the risks of commercial reliance in academic settings.
Looking Ahead
Across the two-day program, the conversation circled back repeatedly to final causes: care, competence, safety and humanity. Dr. Chandran closed the meeting by posing a final question. How do we ensure that these technologies strengthen rather than diminish the human dimensions of medical practice?
Her answer underscored the spirit of the event.
“The conversations started today will continue long after,” Dr. Chandran said. “Cross-institutional and cross-disciplinary collaborations are vital for navigating this ever-evolving landscape successfully.”
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Tags: AI, artificial intelligence, Department of Medical Education, Dr. Barry Issenberg, Dr. Gauri Agarwal, Dr. Hilit Mechaber, Dr. Latha Chandran, medical education, technology