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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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这就是 TRUST-AI 的特点.

Remi Rothwell1, Adam Julius1, Robert Crichton1

  • 1University College London, London, UK.

Journal of perioperative practice
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PubMed
概括
此摘要是机器生成的。

我们提出TRUST-AI,这是一本针对医疗保健专业人员评估人工智能 (AI) 系统的新指南. 该框架通过解决安全有效地融入医疗保健的关键领域,确保负责任地采用人工智能.

关键词:
人工智能的人工智能是人工智能.数字素养数字素养我们的框架框架框架.准则 准则 准则 准则

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科学领域:

  • 医疗保健技术 技术 医疗保健 技术
  • 医疗信息学 医疗信息学
  • 人工智能在医学中的应用

背景情况:

  • 人工智能 (AI) 提供了改善医疗保健决策,效率和患者结果的巨大潜力.
  • 人工智能在医疗保健中的广泛采用受到当前报告准则的持续关注和限制的阻碍.
  • 现有的指导方针很难适应新型人工智能技术的快速发展.

研究的目的:

  • 引入TRUST-AI,这是一个对医疗保健中人工智能系统的高级评估指南.
  • 为医疗保健专业人员提供一个对人工智能技术负责任评估的框架.
  • 在技术进步中确保AI评估原则的持久相关性.

主要方法:

  • 开发了一个名为TRUST-AI的新高级指南.
  • 人工智能评估的七个核心领域的提炼:透明度,可靠性,用例,安全和保障,治疗公平性,负担能力和环境影响以及整合.
  • 为医疗保健专业人员和医疗保健专业人员设计指南,以确保实际适用性.

主要成果:

  • 该TRUST-AI指南提供了一个结构化的方法来评估医疗保健中的AI系统.
  • 它解决了技术性能之外的关键方面,包括道德和实际考虑.
  • 该框架旨在适应多样化和不断发展的人工智能技术.

结论:

  • TRUST-AI使医疗保健专业人员能够充当人工智能实施的知情守门员.
  • 该指南有助于在医疗保健部门建立对人工智能的信任.
  • 通过TRUST-AI进行负责任的评估,促进人工智能的安全和公平整合到不断发展的卫生系统中.