放射科医生的知识,态度和实践关于医疗成像中的人工智能
Wennuo Huang1, Yuanzhe Li2, Zhuqing Bao3
1Department of Radiology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu, 225002, People's Republic of China.
Journal of multidisciplinary healthcare
|July 9, 2024
概括
中国的放射科医生在医学成像中表现出强大的知识和对人工智能 (AI) 的积极态度,75%的人积极使用AI工具. 然而,许多人缺乏人工智能培训,强调需要更多的教育机会.
科学领域:
- 医学成像信息学 医疗成像信息学
- 医疗保健中的人工智能
- 放射学 放射学是一门学科.
背景情况:
- 人工智能 (AI) 正在迅速改变医学成像.
- 了解放射科医生对人工智能的看法对于成功整合至关重要.
- 这项研究重点关注中国东南地区放射科医生的医学成像AI知识,态度和实践 (KAP).
研究的目的:
- 调查中国东南地区放射科医生的当前KAP关于医学成像中的AI.
- 确定影响放射科医生的知识,态度和对人工智能的实践的因素.
- 通过结构方程建模 (SEM) 分析知识,态度和实践之间的相互关系.
主要方法:
- 在江苏,江和福建地区的452名放射科医生中进行了一项横截面研究 (2022年10月至12月).
- 通过自主管理问卷收集的数据评估人口信息和KAP对医学成像AI的评估.
- 使用结构方程建模 (SEM) 来分析KAP变量之间的关系.
主要成果:
- 75.22%的放射科医生积极从事与人工智能相关的实践,平均知识得分为9.01±4.87和态度得分为48.96±4.90.
- 高等教育 (士学位或以上),5-10年的经验,人工智能培训和研究参与与足够的知识有关.
- 知识直接影响了态度 (β=0.481) 和实践 (β=0.412),而态度也直接影响了实践 (β=0.135).
结论:
- 中国东南地区的放射科医生对人工智能辅助的医学成像表现出积极的看法,表现出深刻的理解和热情.
- 尽管态度积极,但很大一部分人缺乏人工智能诊断相关的培训,这表明需要加强教育举措.
- 建议包括开发标准化的人工智能数据库,在临床实践中促进人工智能辅助成像,并进行更大规模的多区域研究.
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