Max Robotics — Global Service Robot Directory + US Certification

About

Kadir Kirtac is a leading researcher at the intersection of computer vision and minimally invasive surgery, whose work is shaping the future of cognitive surgical assistance. His primary focus lies in developing and validating machine learning algorithms for surgical workflow analysis, instrument segmentation, and skill assessment. Kirtac’s most impactful contributions include co-authoring the landmark HeiChole benchmark study, which comparatively validated algorithms for surgical workflow and skill analysis—a paper that has garnered 96 citations. He also played a central role in the ROBUST-MIS 2019 challenge, a major initiative that drove progress in multi-instance instrument segmentation in endoscopy, with his related publications accumulating over 120 citations. By establishing rigorous comparative frameworks and public benchmarks, Kirtac has addressed critical limitations in automated instrument tracking and context-aware surgical systems. His work is foundational for developing semi-autonomous robotic assistance and improving surgical training through objective performance analysis. Through these efforts, Kirtac is helping to translate cutting-edge AI into safer, more intelligent operating rooms.