Construction and Application of Precise Diagnosis and Treatment System for Thyroid-associated Ophthalmopathy
Recruiting now
Conditions studied: Thyroid Associated Ophthalmopathy
In brief
This study aims to develop the deep learning-based system that integrates multimodal information to automatically diagnose, stage, and grade thyroid-associated ophthalmopathy (TAO), assist in treatment decision-making, and predict patient prognosis, thereby providing novel tools to support clinical management.
Key facts
- Study ID
- NCT07124572
- Run by
- Second Affiliated Hospital, Zhejiang University, School of Medicine
- People needed
- 500
- Starts
- 2022-10-01
- Expected to finish
- 2031-10-01
- Last updated by the study team
- 2025-08-15
Who can join
Age: 7 and older, up to 90. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- normal participants without eyelid disorders (control group)
- patients with thyroid-associated ophthalmopathy (TAO group)
- cooperative participants
You may not qualify if…
- participants with pupil or cornea disorders
- participants with history of eye injury
Where it is running
- Juan Ye — Hangzhou, Zhejiang, China (enrolling)
Full record on ClinicalTrials.gov
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