Development of an Artificial Intelligence Solution to Evaluate Clinical Activity of Thyroid Associated Orbitopathy Using Periocular Selfie Images Taken by Smartphones in Patients With Thyroid Dysfunction
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Accuracy for clinical activity score (CAS) of thyroid eye disease (TED)
研究概览
简要总结
This study was conducted to develop an AI solution to evaluate clinical activity score (CAS) of thyroid associated orbitopathy (TAO) using periocular selfie images taken by smartphones in patients with thyroid dysfunction.
An AI solution to evaluate CAS in TAO was developed in previous retrospective study using periorbital digital images taken by DSLR camera in the studio. This AI solution will be adjusted to show its best performance with periocular selfie images taken by smartphones.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 19 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with thyroid eye disease
排除标准
- •Patients who have prior facial anomaly or surgery
- •Patients who cannot use smartphone camera app
结局指标
主要结局
Accuracy for clinical activity score (CAS) of thyroid eye disease (TED)
时间窗: baseline (this study has no intervention)
Accuracy of AI solution using smartphone selfie images for CAS of TED.
Diagnostic accuracy for active thyroid eye disease
时间窗: baseline (this study has no intervention)
Accuracy of AI solution using smartphone selfie images for active thyroid eye disease (TED) which is defined as 3 or more of clinical activity score
次要结局
- Accuracy for redness of eyelids(baseline (this study has no intervention))
- Accuracy for redness of conjunctiva(baseline (this study has no intervention))
- Accuracy for swelling of eyelids(baseline (this study has no intervention))
- Accuracy for swelling of conjunctiva(baseline (this study has no intervention))
- Accuracy for swelling of caruncle(baseline (this study has no intervention))
研究者
Namju Kim
Professor
Seoul National University Bundang Hospital