Usefulness of Artificial Intelligence (AI) for Gastric Intestinal Metaplasia Diagnosis
试验速览
- 阶段
- 不适用
- 入组人数
- 120
- 试验地点
- 2
- 主要终点
- Accuracy of AI for GIM diagnosis
研究概览
简要总结
This study will use artificial intelligence (AI) for diagnosing gastric intestinal metaplasia.
详细描述
The patients with previously diagnose gastric intestinal metaplasia (GIM) and have the surveillance gastroscopy will be enrolled. The routine surveillance program will be performed additional to taking photo at both GIM and normal mucosa at least 5 pictures in each. Biopsy will be done to confirm the diagnosis of GIM and normal mucosa. All pictures will be inserted to AI algorithm based on the convolutional neural network (CNN). Then, the AI program will be validated in daily endoscopy compared with pathology. Accuracy, sensitivity and specificity can be calculated by 2x2 table.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •More than 18 years of age
- •Able to sign a consent form
排除标准
- •History of gastric surgery
- •Coagulopathy
- •Pregnancy/Breast feeding
结局指标
主要结局
Accuracy of AI for GIM diagnosis
时间窗: 1 year
Accuracy, sensitivity, specificity can be calculated by 2x2 table (pathology is a gold standard)
次要结局
未报告次要终点
研究者
Rapat Pittayanon
Principle investigator
King Chulalongkorn Memorial Hospital