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About

Daranee Hormdee is a pioneering researcher in robotic-assisted laparoscopic surgery, specializing in the integration of deep learning and computer vision to enhance surgical precision and automation. Her work focuses on developing intelligent systems for surgical instrument detection and robotic navigation, directly addressing the challenges of minimally invasive procedures. Her most influential paper, "Surgical Instrument Detection for Laparoscopic Surgery using Deep Learning" (2022, 18 citations), demonstrates a robust deep learning framework that enables real-time identification of surgical tools, significantly improving safety and reducing the risk of organ or instrument damage during robot-assisted operations. Hormdee further advanced this field with her Laparoscope Manipulating Robot (LMR) navigation system, which uses deep learning-based detection to automate laparoscope positioning, and her innovative uterine manipulation system for gynecological laparoscopy, which enhances procedural efficiency and patient outcomes. With her object detection systems achieving high accuracy in real-time surgical environments, Hormdee’s contributions are driving the next generation of autonomous surgical robotics, making complex procedures safer and more accessible. Her work is essential reading for researchers in surgical robotics, computer vision, and medical AI.