Comparative Evaluation of Artificial Intelligence and Endoscopists´ Accuracy in Endoscopic Ultrasound for Identifying Normal Anatomical Structures: A Multi-institutional, Cross-sectional Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 30
- 试验地点
- 1
- 主要终点
- Diagnostic accuracy
研究概览
简要总结
Endoscopic ultrasound (EUS) visual impression is operator-dependant and can hinder diagnostic accuracy, especially in less experienced endoscopists. The implementation of artificial intelligence can potentially mitigate operator dependency and interpretation variability, helping or improving the overall accuracy.
The investigators therefore aim to compare diagnostic accuracy between artificial intelligence (AI)-based model and the endoscopists when identifying normal anatomical structures in EUS-procedures.
详细描述
EUS is an operator dependent procedure where accuracy depends on experience and skills. Nowadays, EUS-training can be achieved by a formal fellowship training in a center for 6-24 months or an informal training through didactic sessions with a short hands-on experience. However, parameters for a correct and complete learning experience measurement are yet to be defined. The implementation of artificial intelligence on EUS can potentially mitigate the operator-dependent variable and improve diagnostic accuracy.
Therefore, detection of normal anatomical structures on a separate basis using an AI-based model, expert and non-expert endoscopists to determine where the AI would be most helpful.
The investigators aim to compare the diagnostic accuracy of the AI-based model with the endoscopists identification of normal anatomical structures in EUS procedures.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 99 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Expert gastrointestinal EUS-endoscopists.
- •Non-expert gastrointestinal endoscopists training for EUS.
- •Patients with chronic dyspepsia without other findings.
- •Patients with previous CT images or upper digestive endoscopy reporting no other findings.
- •Patients requiring EUS for surveillance due to family history of pancreatic cancer without findings on MRI.
排除标准
- •Internet connection less than 100 MBs per second.
- •Patients with abnormal structures or with visible lesions.
结局指标
主要结局
Diagnostic accuracy
时间窗: 5 months
The true positive, true negative, false positive and false negative based on detection of anatomical structures according to the an external expert endoscopist as gold-standard.
次要结局
- Interobserver agreement(5 months)
研究者
Carlos Robles-Medranda
Head of the Endoscopy Division
Instituto Ecuatoriano de Enfermedades Digestivas