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Construction and Application of Precise Diagnosis and Treatment System for Thyroid-associated Ophthalmopathy

Construction and Application of Precise Diagnosis and Treatment System for Thyroid-associated Ophthalmopathy

Recruiting
7-90 years
All
Phase N/A

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Overview

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

Inclusion Criteria:

  • normal participants without eyelid disorders (control group)
  • patients with thyroid-associated ophthalmopathy (TAO group)
  • cooperative participants

Exclusion Criteria:

  • participants with pupil or cornea disorders
  • participants with history of eye injury

Study details
    Thyroid Associated Ophthalmopathy

NCT07124572

Second Affiliated Hospital, School of Medicine, Zhejiang University

1 September 2025

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