增强型医生:人工智能和临床认知的未来
Khayreddine Bouabida1,2,3, Breitner Gomes Chaves4, Enoch Anane5
1UConn Health, Farmington, CT, United States.
Frontiers in artificial intelligence
|March 11, 2026
概括
医疗信息的快速增长给临床医生带来了挑战. 人工智能可以充当认知合作伙伴,增强人类的专业知识,以改善患者护理和医疗实践.
科学领域:
- 生物医学信息学 生物医学信息学
- 医学伦理 医学伦理
- 临床实践 临床实践
背景情况:
- 生物医学数据的指数增长超过了临床医生将新证据纳入实践的能力.
- 这种信息过载会给临床专业知识,患者安全和医学教育带来压力.
- 医学证据的生成和在医疗保健机构的实施之间存在很大的差距.
研究的目的:
- 检查生物医学信息的加速增长所带来的挑战.
- 提出人工智能 (AI) 作为临床医生的认知合作伙伴,而不是替代者.
- 探索伦理管理的人工智能系统的潜力,以提高临床实践和患者护理.
主要方法:
- 分析医疗信息增长及其影响的现状.
- 讨论人工智能在弥合证据实施差距方面的作用.
- 探索伦理考虑和对AI在医疗保健中的深思熟虑的整合.
主要成果:
- 人工智能可以通过组织和语境化大量信息来帮助临床医生.
- 人工智能集成可以增强临床判断力,同情心和患者护理中的人类联系.
- 人工智能有可能提高患者参与度,减少行政负担.
结论:
- 人工智能应该被视为一种协作工具,用于增强,而不是取代临床医生.
- 在信息加速的背景下,接受人工智能对于维持临床卓越至关重要.
- 医学的未来涉及到一个协同的人类-AI认知模型,增强护理的交付.
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