Computer Vision-Based Recognition of Parathyroid Glands and Recurrent Laryngeal Nerves in Endoscopic Surgery

This study aims to evaluate the performance of the PTAIR computer vision model for recognizing parathyroid glands and recurrent laryngeal nerves during endoscopic thyroid surgery. Multicenter intraoperative endoscopic surgery videos will be prospectively collected. Using the video recorder timeline as the unified time reference, the first recognition time of parathyroid glands and recurrent laryngeal nerves by PTAIR, junior physicians, and senior physicians will be recorded during surgery. The continuous recognition time of parathyroid glands and recurrent laryngeal nerves by PTAIR will also be recorded. This study focuses on the recognition performance of PTAIR in real-world multicenter endoscopic thyroid surgery settings. At this stage, PTAIR will not be used to guide intraoperative surgical decision-making, and the study will not evaluate the effect of PTAIR on clinical outcomes. The collected video data will be used to assess the performance of PTAIR under different centers, surgeons, equipment conditions, and surgical field conditions, and may provide data support for future model optimization.

NCT Number	NCT07628543
Lead Sponsor	Fujian Medical University Collaborators: Peking University Shenzhen Hospital, Cancer Hospital of Guangxi Medical University, First Affiliated Hospital of Guangxi Medical University, First Hospital of China Medical University, The First Affiliated Hospital of Zhengzhou University, Peking Union Medical College Hospital, United Family Healthcare, Longyan City First Hospital, Mahidol University, Rio de Janeiro State University
Conditions	Thyroid Diseases, Thyroid Neoplasms
Enrollment	100 participants
Start Date	2026-06-01
Primary Completion	2027-05-31 (estimated)
Study Completion	2028-05-31 (estimated)
Updated on ClinicalTrials.gov	2026-06-05