跳至主要内容
临床试验/NCT07121283
NCT07121283Enrolling By Invitation不适用

Comparison of the Difference in Bone Age Readings Among Radiologists Using Artificial Intelligence

Cheng-Hsin General Hospital1 个研究点 分布在 1 个国家目标入组 8 人开始时间: 2025年9月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
Enrolling By Invitation
入组人数
8
试验地点
1
主要终点
Difference of Skeletal Age Estimate

研究概览

简要总结

AI-Assisted Bone Age Assessment

详细描述

Artificial intelligence (AI) has gained great advancement in the application in clinical practice. However, this might introduce the automation bias, that the clinician over-rely on the incorrect advise from AI. The automation bias could have a great impact on the clinical decisions in an AI era. However, efforts to mitigate the automation bias tend to focus on upgrading AI performance and reducing bias in algorithms, which neglect the role of users. The aim of this study is to investigates the impact of the automation bias on the bone age assessment among radiologists with different seniority.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Crossover
主要目的
Diagnostic
盲法
Single (Participant)

入排标准

性别
All
接受健康志愿者
否

入选标准

  • •Exams read by radiologists who interpret pediatric skeletal age exams and verbally consent to participate

排除标准

  • •Exams containing more than one radiograph will not be included. No further exclusion criteria will be applied on the basis of image quality metrics or manufacturers

研究组 & 干预措施

True AI

Experimental

干预措施: True AI (Device)

Fake AI

Experimental

干预措施: Fake AI (Device)

结局指标

主要结局

Difference of Skeletal Age Estimate

时间窗: Five months

Mean absolute difference of bone age assessment between true AI-assisted and fake AI-assisted among radiologists

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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