临床经验和风险感知影响了在医学中使用人工智能的接受和信任
Peter J Schulz1,2, Kalya M Kee2,3, May O Lwin1
1Wee Kim Wee School of Communication, Nanyang Technological University, Singapore, Singapore.
临床医生的经验和风险感知显著影响人工智能 (AI) 在医疗保健中的接受. 人工智能风险感知较低的高级医生表现出更高的接受度,而当风险被认为很高时,初级医生对人工智能更容易接受.
科学领域:
- 医疗信息学 医疗信息学
- 临床实践 临床实践
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地融入临床环境.
- 了解临床医生对人工智能的接受对于有效实施至关重要.
- 在不同的医疗专业团体中,人工智能接受度可能存在差异.
研究的目的:
- 调查临床医生对人工智能的态度,信任和接受.
- 探索临床医生的背景和经验如何影响AI交互.
- 根据经验和风险感知,识别人工智能接受的不同模式.
主要方法:
- 调查了319位胃肠科医生,以评估AI的态度和行为.
- 他们根据AI的经验和感知风险将参与者分成四组.
- 利用协方差分析 (ANCOVA) 来比较跨群体的人工智能接受度.
主要成果:
- 根据经验和AI风险感知,确定了四个不同的临床医生集群.
- 在这些临床医生群体中,人工智能的接受程度差异很大.
- 临床医生的经验和风险感知交互影响了人工智能的接受.
结论:
- 认为人工智能风险较低的高级临床医生表现出最高的接受度.
- 初级临床医生更倾向于采用人工智能,当风险被认为很高时.
- 经验水平和风险视角是医疗专业人员采用人工智能的关键因素.
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