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Signature Seminar Series: Building Surgical AI: From Inception to Benchmarking,
Validation, and Adoption
ABOUT THE LECTURE:
Artificial intelligence is rapidly transforming surgery, yet
the path from early algorithm development to safe and scalable clinical
adoption remains fragmented. This seminar will explore the evolution
of surgical AI from inception to real-world implementation, focusing on
data generation, annotation standards, benchmarking, validation, and
governance. Drawing from the development of initiatives such as the
Surgical Artificial Intelligence and Innovation Laboratory (SAIIL) and the
Critical View of Safety (CVS) Challenge, the talk will discuss how
clinically meaningful benchmarks and trusted infrastructure are
essential for translating AI models into reliable surgical tools. Particular
emphasis will be placed on surgical video, computer vision, foundation models,
and the creation of interoperable ecosystems that align academia, health
systems, regulators, and industry to support the responsible adoption of AI in
surgery.
HOST:
Dr Jasmine Ong
Principal Clinical Pharmacist
Singapore General Hospital
VENUE:
Duke-NUS Medical School
Amphitheatre, Level 2
CONTACT PERSON:
Ms Kathleen Chan (kathleen.chan@duke-nus.edu.sg)
Duke-NUS Research Affairs Department
Date and Time
20 May 2026 @ 12:00 - 20 May 2026 @ 13:00
Speaker
Dr Ozanan Meireles
Vice Chair of Innovation
Surgical Director
Duke AI Health
Director, SAIIL
Duke University School of Medicine
Dr. Ozanan R. Meireles is Associate Professor of Surgery at
Duke University, inaugural Vice Chair of Innovation for the Department of
Surgery, and Surgical Director of Duke AI Health. A bariatric and foregut
surgeon, he directs the Surgical Artificial Intelligence and Innovation
Laboratory (SAIIL). His work focuses on computer vision, machine learning, and
trusted AI infrastructure for surgery, with collaborations spanning academia,
health systems, and industry worldwide.