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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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人工智能和医学中的理解

Jonathan Adams1

  • 1Centre for Medical Ethics, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.

Bioethics
|November 28, 2025
PubMed
概括

医学中的人工智能 (AI) 对疾病,疾病和疾病的理解产生影响. 虽然人工智能提供了透明度和确定性等好处,但它可能会掩盖主观经验并使临床同情心复杂化.

科学领域:

  • 医疗信息学 医疗信息学
  • 医学哲学 医学哲学
  • 医疗保健中的人工智能

背景情况:

  • 人工智能 (AI) 融入医学需要对其对医学知识的影响有细微的了解.
  • 当前的评估往往忽视了医学理解的多面性质,包括生物医学,体验和社会维度.

研究的目的:

  • 提出一个概念框架来评估AI在医学中的认识效应.
  • 分析人工智能如何影响医学理解的三个维度:疾病,疾病和疾病.
  • 将AI的潜在影响与核心认识价值观联系起来:透明度,确定性和同情心.

主要方法:

  • 使用医学理解的三维模型:疾病 (生物医学),疾病 (第一人称体验) 和疾病 (社会角色).
  • 该分析从概念上研究了人工智能如何与这些维度和认识目标相交.
  • 这篇论文提供了理论基础,而不是对特定AI应用的经验审查.

主要成果:

  • 人工智能可以提高身体过程的透明度,提高诊断确定性.
  • 人工智能可能会挑战传统的临床同情心和对主观疾病经验的理解.
  • 相反,人工智能有可能掩盖疾病的带有价值的方面,并使疾病的社会维度复杂化.
关键词:
医学中的人工智能确定性 确定性 确定性同理心同理心同情心医学认识论医学认识论透明度 透明度 透明度了解理解理解理解理解理解理解理解

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结论:

  • 人工智能对医学理解的影响是复杂的,提供了增强和潜在的损害.
  • 拟议的框架强调需要考虑人工智能对透明度,确定性和同理心的影响.
  • 这种概念方法作为未来关于人工智能在医疗保健中的作用的经验研究的基础.