公众对人工智能在病理学研究和实践中的使用意识和态度:混合方法研究研究
Claire Lewis1, Jenny Groarke2, Lisa Graham-Wisener3
1School of Medicine Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom.
Journal of medical Internet research
|April 2, 2025
概括
公众对病理学中人工智能 (AI) 的认识很低,但对AI协助病理学家诊断癌症的支持很高. 有条件的接受需要人类监督和强大的数据保护.
科学领域:
- 医疗信息学 医疗信息学
- 数字病理学数字病理学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 显示出改善癌症诊断和病理学管理的前景.
- 人工智能开发和实施存在挑战,包括公众接受和数据使用问题.
研究的目的:
- 在病理学研究和实践中调查公众对人工智能的认识和态度.
- 评估公众对人工智能驱动的诊断工具在癌症护理中的支持.
主要方法:
- 这是一项针对1518名参与者的全英网络混合方法调查.
- 通过闭式和开放式问题评估AI在病理学中的认识,观点和支持.
- 用描述性和推断性统计数据分析定量数据;用主题分析分析定性数据.
主要成果:
- 公众对AI在病理学方面的认识较低 (23.19%).
- 对人工智能协助病理学家的支持很高 (97.36%),但不仅仅是对人工智能诊断的支持 (59.82%反对癌症诊断).
- 增加支持的因素包括男性性别,更大的意识,对数据安全的信任和积极的信念.
结论:
- 人工智能在病理学中的公众意识很低,但支持率很高,有条件.
- 支持取决于人类监督,数据保护和AI有效性的证据.
- 关于AI在癌症诊断和数据隐私方面的挑战仍然存在,特别是对于女性来说.
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