提高加纳医学成像专业人员对人工智能系统的信任的原则:全国性的横截面研究
A Donkor1, D Kumi2, E Amponsah2
1Department of Medical Imaging, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; IMPACCT (Improving Palliative, Aged and Chronic Care Through Clinical Research and Translation), Faculty of Health, University of Technology Sydney, Australia.
加纳的医学成像专业人员重视AI可信度原则,如透明度和监督. 需要改进人工智能教育,以提高对医疗保健人工智能的信心和采用.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 解决医疗成像人工智能的挑战对于信任和接受至关重要.
- 网络恐怖主义对医疗保健中的AI系统构成重大威胁.
- 了解专业观点是将AI整合到医学成像中的关键.
研究的目的:
- 确定增强加纳医学成像专业人员对人工智能系统的信任的原则.
- 在加纳背景下评估特定AI值得信赖原则的重要性.
- 为医疗成像中可靠的人工智能开发提供信息.
主要方法:
- 一项全国性的横截面调查在线匿名进行.
- 该调查包括社会人口统计数据和AI值得信赖的原则.
- 评估的关键原则是人为代理,技术稳定性,数据隐私和透明度.
主要成果:
- 370名医学成像专业人员完成了调查;66.5%是诊断放射学家.
- 32.7%的人对医疗成像人工智能系统的功能理解有限.
- 54.9%的受访者认为,所有四个原则对人工智能信任都很重要,透明度,公平性和问责制被评为最高 (4.27 ± 0.58).
结论:
- 加纳的医学成像专业人员认识到人工智能信任的人类代理,技术稳定性,数据隐私和透明度的重要性.
- 教育干预是必要的,以提高加纳医疗成像部门的人工智能素养.
- 组织应优先设计和部署可靠的AI系统,用于医学成像.
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