跳至主要内容
临床试验/NCT05423964
NCT05423964招募中不适用

Impact of Artificial Intelligence on Trainee Adenoma Detection Rate

University of Southern California2 个研究点 分布在 1 个国家目标入组 25 人开始时间: 2023年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
25
试验地点
2
主要终点
Average adenoma detection rate

研究概览

简要总结

Adenoma detection rate (ADR) is a validated quality metric for colonoscopy with higher ADR correlated with improved colorectal cancer outcomes. Artificial intelligence (AI) can automatically detect polyps on the video monitor which may allow endoscopists in training to improve their ADR. Objective and Purpose of the study: Measure the effect of AI in a prospective, randomized manner to determine its impact on ADR of Gastroenterology trainees.

详细描述

Our objective is to determine the impact of AI on the adenoma detection rate of Gastroenterology trainees. The secondary aim of this quality improvement study is to determine the impact of AI based endoscopy on the rate of recording of quality improvement metrics versus historical performance in our program.

Fellows will undergo educational session prior to the start of study, describing commonly used metrics for assessing quality of colonoscopy and how to use the artificial intelligence software. Gastroenterology fellows will be consented for the study prior to initiation. The fellows will be randomized on a daily basis to perform colonoscopies in a room. Outcomes will measure the effects of AI in fellows

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Diagnostic
盲法
None

入排标准

性别
All
接受健康志愿者

入选标准

  • All Gastroenterology fellows at USC performing Endoscopies will be included in the study.

排除标准

  • If fellows refuse informed consent they will be excluded.
  • Procedures performed in the intensive care unit or the operating room will not be counted toward the study metrics as the AI system will only be available in the endoscopy unit.
  • If procedures are performed only by faculty, in which the fellow is not the primary operator, they will not be used for study metrics.

结局指标

主要结局

Average adenoma detection rate

时间窗: Throughout study, an average of 2 years

Adenoma detection rate with and without AI

次要结局

  • Average of polyps detection rate(Through out study, an average of 2 years)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

James Buxbaum

Associate Professor

University of Southern California

研究点 (2)

Loading locations...

相似试验