调查血液学家的感知和准备在诊断和治疗中采用人工智能决策的准备
Turki Alanzi1, Fehaid Alanazi2, Bushra Mashhour3
1Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, SAU.
Cureus
|December 28, 2023
概括
血液学家对诊断中的人工智能 (AI) 持开放态度,但认为信任和复杂性是关键问题. 解决这些障碍对于人工智能在血液学实践中的采用至关重要.
科学领域:
- 血液学 血液学 血液学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地融入医疗实践.
- 了解医生对人工智能的准备对于成功实施至关重要.
研究的目的:
- 评估血液学家对AI在诊断和治疗决策中的看法和准备.
- 确定在血液学中采用人工智能的挑战和障碍.
主要方法:
- 横截面调查设计. 横截面调查设计.
- 验证的在线调查问卷给了血液学家 (MD) 和医学博士研究生.
- 188名参与者完成了调查.
主要成果:
- 关键的挑战包括人工智能自主性和医疗复杂性.
- 发现了障碍:缺乏信任,理解,非人性化和技能减少.
- 性别和年龄影响了人们对人工智能的好处和担忧的看法.
结论:
- 血液学家对人工智能在诊断和治疗方面有积极的看法.
- 缺乏信任,透明度,监管和人工智能意识阻碍了采用.
- 为了整合人工智能,需要进一步的研究和战略实施.
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