中国瘤学家关于将人工智能纳入临床实践的观点:跨部门调查研究
Ming Li1, XiaoMin Xiong2, Bo Xu2,3
1Department of Health Policy Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
JMIR formative research
|June 5, 2024
概括
中国瘤学家对瘤学中的人工智能表示严重担忧,包括诊断错误和数据偏差. 解决这些问题需要合作,以确保安全和道德的人工智能集成,以改善患者护理.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 正在迅速发展,具有潜在的瘤学应用.
- 中国医院正在采用人工智能工具,这引起了瘤学家的担忧.
研究的目的:
- 探索中国瘤学家在临床实践中对人工智能整合的担忧.
- 确定影响这些问题的因素.
主要方法:
- 对228名中国瘤科医生进行了基于网络的横截面调查.
- 调查问题解决了对人工智能的担忧,它对医生和患者关系的影响,以及潜在的就业替代.
- 用描述性和变异性分析分析数据.
主要成果:
- 最主要的担忧包括人工智能误导诊断/治疗 (71.5%),过度依赖 (71%),数据偏差 (54%),隐私 (54%) 和落后的法规 (50.4%).
- 拥有学士学位的瘤学家对数据偏差和监管滞后更担心.
- 超过一半 (53.1%) 认为人工智能对医生患者关系产生了积极影响,而IT经验丰富的瘤学家则更为积极.
结论:
- 解决人工智能问题需要政策制定者,开发者和医疗保健专业人员之间的合作.
- 强调透明度,以人为中心的设计,减轻偏见和教育至关重要.
- 一个多学科的战略可以促进有效的AI整合在瘤学,平衡利益与道德考虑.
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