Real-time use of artificial intelligence (CAD EYE) in the colorectal cancer surveillance of Lynch syndrome patients (CADLYII) – an international multicenter trial
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.omicsdi.org/dataset/ecrin-mdr-crc/72537
下载链接
链接失效反馈官方服务:
资源简介:
Interventions: Group 1: Standard high-definition white-light endoscopy (HD-WLE) in Lynch syndrome patients during colorectal cancer surveillance
Group 2: Standard high-definition white-light endoscopy (HD-WLE) and additional
real-time use of artificial intelligence (CADEYE Fujifilm) in Lynch syndrome patients during colorectal cancer surveillance
Primary outcome(s): Comparison of the adenoma detection rate (ADR) during high-definition white-light endoscopy (HD-WLE) with versus without real-time automated detection (CAD EYE Fujifilm)
Study Design: Allocation: Randomized controlled study; Masking: Open (masking not used); Control: active; Assignment: parallel; Study design purpose: diagnostic
创建时间:
2023-05-15



