评估放射科医生和放射学家对人工智能整合的看法:机遇和挑战
Badera Al Mohammad1, Afnan Aldaradkeh1, Monther Gharaibeh2
1Department of Allied Medical Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid 22110, Jordan.
The British journal of radiology
|January 26, 2024
概括
放射科医生和放射学家对放射学中的人工智能 (AI) 有积极的看法. 人工智能采用的主要障碍包括缺乏专家指导和资金.
科学领域:
- 医疗成像医学成像
- 医疗保健中的人工智能
- 放射学实践 放射学实践
背景情况:
- 人工智能 (AI) 正在迅速改变医疗保健,对诊断成像产生重大影响.
- 了解医疗保健专业人员的观点对于成功的AI集成至关重要.
研究的目的:
- 评估放射科医生和放射学家对放射科部门AI的看法.
- 确定这些专业人士在学习人工智能时所面临的挑战和障碍.
主要方法:
- 从2023年5月到7月进行了一项全国性的在线横截面调查.
- 该调查收集了有关参与者关于放射学AI的意见,感受和预测的数据.
- 使用了描述性统计和利克特尺度数据分析.
主要成果:
- 258名放射科医生和放射学家参加了这次活动,他们对人工智能实施表现出了积极的态度.
- 乳腺成像被预测为受影响最严重的子专业;MRI,乳房影像和CT是关键模式.
- 缺乏导师和专家指导是AI学习的主要障碍.
结论:
- 放射科医生和放射学家对学习和在他们的实践中实施AI非常开心.
- 存在重大障碍,特别是缺乏专家支持和指导,资金不足.
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