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在骨科外科医生中接受和理解医疗研究中的人工智能

Michael J Ormond^1,2, Nick D Clement³, Ben G Harder²

¹Science Communication Unit, University of the West of England, Bristol, UK.

Bone & joint open

|September 11, 2023

概括

整形外科医生对人工智能 (AI) 的研究表现出谨慎的乐观态度,尽管对其验证存在困惑. 它们的接受受传统基于证据的医学培训和AI的影响.

科学领域:

整形医学研究整形医学研究
医学统计医学统计
人工智能的人工智能

背景情况:

基于证据的医学 (EBM) 原则指导着现代手术实践.
外科医生传统上依靠熟悉的统计方法进行研究评估.
在骨科研究中越来越多地使用复杂的人工智能 (AI) 带来了新的挑战.

研究的目的:

探索整形外科医生对AI在研究中的理解.
评估骨科社区对人工智能驱动的发现的接受程度.

主要方法:

对12名整形外科医生进行了半结构化的深度采访.
采用感应性主题分析来识别外科医生反应中的关键主题.

主要成果:

确定了四个主题:传统研究中的有效性,对AI定义的困惑,无法验证AI研究,以及谨慎的乐观.
外科医生的决定是以医学培训中根深蒂固的"有效度启发式"为指导的.
在日常生活中熟悉人工智能会减少怀疑,帮助人们接受它.

结论:

研究中的AI可以挑战传统的EBM框架,给外科医生带来验证困难.
谨慎的乐观主义占主导地位,由外科医生的培训和人工智能日益融入社会的介导.
外科医生的根深蒂固的验证启发式影响他们接受新的AI研究方法.

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