Event Speaker

Pouria Rouzrokh, MD, MPH, MHPE

Research Associate

Mayo Clinic Artificial Intelligence Laboratory

I am a graduated physician from the Tehran University of Medical Sciences, Iran, and have also earned MPH and MHPE degrees from the same university. I am currently a post-doctorate research associate and data scientist at Mayo Clinic Artificial Intelligence Laboratory and the Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Mayo Clinic. I am an aspiring radiologist, and my main interests in AI are generative AI and uncertainty quantification.

Sessions

AI-Powered Productivity: Practical Tools Beyond Clinical Applications

Presented by Eduardo Farina, MD, Amirali Khosravi, Pouria Rouzrokh, MD, MPH, MHPE, Bardia Khosravi, MD, MPH, MHPE Jun 12, 2026 | 7:30 AM.

Healthcare professionals are under constant pressure to do more with less time, often spending hours each week on non-clinical work such as literature review, content creation, administrative tasks, and workflow coordination. This interactive session addresses a clear and growing need: helping attendees reclaim meaningful time by using AI tools in practical, low-barrier ways that fit…

Applying AI to Facilitate Clinical Research & Peer Review Workflows: A Recipe for Effective, Efficient, and Ethical Practice Learning Lab

Presented by Pouria Rouzrokh, MD, MPH, MHPE, Bardia Khosravi, MD, MPH, MHPE Jun 10, 2026 | 4:00 PM.

Modern AI has the potential to dramatically accelerate clinical research and peer review—but when used imprecisely or without safeguards, it can introduce ethical risks, reproducibility gaps, and credibility issues. Many clinicians and researchers are already experimenting with AI tools, yet lack clear guidance on when to use them, how to use them responsibly, and how…

Enhancing Medical Education with Artificial Intelligence: How to Achieve Personalized Learning in Practice

Presented by Mahan Mathur, MD, Michael Recht, MD, Pouria Rouzrokh, MD, MPH, MHPE, Bradley Erickson, MD, PhD, CIIP, FSIIM, Bardia Khosravi, MD, MPH, MHPE Jun 11, 2026 | 10:00 AM.

Artificial intelligence (AI) is rapidly reshaping medical education by enhancing curriculum design, content development, assessment, and learner support. With no-code, widely accessible tools now available, AI can be used effectively by trainees, faculty, and program directors when applied transparently and responsibly. This session provides practical guidance for integrating AI across Harden’s 10-step curriculum development framework, using examples…