Construction and Application of Precise Diagnosis and Treatment System for Thyroid-associated Ophthalmopathy
Status: Recruiting
Location: See location...
Intervention Type: Other
Study Type: Observational
SUMMARY
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.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 7
Maximum Age: 90
Healthy Volunteers: t
View:
• normal participants without eyelid disorders (control group)
• patients with thyroid-associated ophthalmopathy (TAO group)
• cooperative participants
Locations
Other Locations
China
Juan Ye
RECRUITING
Hangzhou
Contact Information
Primary
Juan Ye
yejuan@zju.edu.cn
+86-571-87783897
Time Frame
Start Date: 2022-10-01
Estimated Completion Date: 2031-10-01
Participants
Target number of participants: 500
Treatments
Participants without Thyroid-associated ophthalmopathy
Participants without thyroid-associated ophthalmopathy based on Bartley criteria.
Patients with Thyroid-associated ophthalmopathy
Patients diagnosed as thyroid-associated ophthalmopathy based on Bartley criteria.
Related Therapeutic Areas
Sponsors
Leads: Second Affiliated Hospital, School of Medicine, Zhejiang University