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

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Conditions studied: Thyroid Diseases, Thyroid Neoplasms

In brief

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.

Key facts

Study ID
NCT07628543
Run by
Fujian Medical University
People needed
100
Starts
2026-06-01
Expected to finish
2028-05-31
Last updated by the study team
2026-06-05

Who can join

Age: any. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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