Max Robotics — Global Service Robot Directory + US Certification

About

Jintong Han is a leading researcher in surgical data science and robotic-assisted surgery, with a focus on advancing machine learning models for intraoperative tool localization and surgical workflow analysis. As a key contributor to Intuitive Surgical’s SurgToolLoc and SurgVU challenges, Han has driven the development of benchmark datasets and evaluation frameworks that enable the community to build and compare algorithms for real-time surgical tool tracking and scene understanding. Their work, including the widely referenced 2023 challenge results paper, has laid critical groundwork for integrating AI into robotic surgery, directly impacting the safety and precision of minimally invasive procedures. With over six citations on this foundational challenge paper alone, Han’s contributions are shaping the next generation of autonomous surgical systems. By bridging clinical needs with cutting-edge computer vision, Han is helping to transform how surgeons interact with robotic platforms, making complex procedures more intuitive and data-driven. Their leadership in these challenges underscores a commitment to open science and reproducible research in a rapidly evolving field.