对医疗成像工作人员可用的人工智能 (AI) 教育计划的范围审查
G Doherty1, L McLaughlin1, C Hughes1
1Ulster University, School of Health Sciences, Faculty of Life and Health Sciences, Shore Road, Newtownabbey, Northern Ireland, United Kingdom.
Radiography (London, England : 1995)
|January 13, 2024
概括
对医学成像工作人员的人工智能 (AI) 培训对于医疗保健的进步至关重要. 这次审查只发现了五项评估人工智能教育干预措施的研究,突出显示了对标准化,全面的培训计划的需求.
科学领域:
- 医学成像医学成像
- 医疗保健技术 医疗保健技术 医疗保健技术
- 人工智能 (AI) 是一种人工智能.
背景情况:
- 医学成像是医疗保健中快速发展,技术先进的领域.
- 人工智能 (AI) 代表了一个重要的前沿,有可能彻底改变医疗保健.
- 医疗保健工作人员,特别是医学成像领域的人工智能准备对于成功采用和实施人工智能至关重要.
研究的目的:
- 进行范围审查,比较现有研究,调查和评估AI教育干预措施对医学成像工作人员的有效性.
- 确定在提供人工智能支持的医疗保健培训方面的最佳实践和挑战.
- 为医疗保健专业人员制定未来人工智能教育策略提供信息.
主要方法:
- 我们采用了全面的搜索策略和关键词搜索来确定相关研究.
- 研究资格通过严格的选过程确定,包括标题/摘要扫描和全文审查.
- 包括的研究是经验性的,专注于专门为医学成像人员设计的AI教育干预措施,这些干预措施被创建,交付和评估.
主要成果:
- 在1309个初始记录中,只有5项研究 (约0.4%) 符合纳入标准.
- 这五项研究具有相似的教育目标,其中"翻转课堂"模式是最常见的交付方法.
- 在评估的研究中,在课程内容的深度和使用的结果指标上观察到显著的差异.
结论:
- 该审查确定了有限数量的实证研究,评估了医疗成像人员的AI教育干预措施.
- 现有的人工智能培训计划显示内容深度和结果测量的变化,表明需要更大的标准化.
- 显然需要制定和实施标准化,全面的AI培训计划,以确保成像人员充分准备在医疗保健中采用AI.
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