Papers
13
Total Citations
235
H-Index
8
About
Ozanan R. Meireles stands at the forefront of surgical artificial intelligence and minimally invasive surgery, pioneering the integration of machine learning into the modern operating room. His most influential work, a 2017 paper on automated real-time video segmentation of laparoscopic and robotic surgeries (65 citations), established a foundation for context-aware surgical AI capable of improving perioperative workflows and surgical education. Building on this, Meireles has advanced predictive surgical intelligence through contributions like SUPR-GAN, a generative model designed to anticipate future surgical events rather than merely cataloging past ones — a conceptual leap with profound implications for intraoperative decision support and risk mitigation. Beyond AI, Meireles has shaped surgical training and practice on a global scale, contributing to a worldwide Delphi consensus on robotic-assisted esophagectomy curricula and authoring expert consensus statements on AI's role in metabolic and bariatric surgery. His work examining the economic realities of robotic surgery reflects a commitment to accessibility alongside innovation. As a founding voice in the SAGES AI task force, he has helped define how operating room data is captured and standardized. Collectively, his research bridges surgical science, computer vision, and health systems thinking — making him a defining figure in the future of intelligent surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9Applications of Surgical Robotics in General Surgery7 citations · 2010
- 10