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相关实验视频

Updated: Jan 10, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

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对负责任的人工智能开发和部署的全面方法

Sonya Makhni1, Jose Rico2, Paul Cerrato2

  • 1Department of Hospital Internal Medicine, Mayo Clinic Rochester, Mayo Clinic Platform, Rochester, MN.

Mayo Clinic proceedings. Digital health
|November 24, 2025
PubMed
概括

本文介绍了医疗保健中负责任的人工智能 (AI) 的新框架. 它解决了安全性,有效性和公平性的问题,以改善患者的治疗结果和效率.

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High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

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科学领域:

  • 医疗信息学 医疗信息学
  • 人工智能的人工智能
  • 医学伦理 医学伦理

背景情况:

  • 人工智能 (AI) 在医疗保健中的整合为解决护理准入,劳动力倦怠和健康不平等方面的挑战提供了机会.
  • 然而,人工智能采用受到安全性,有效性和公平性方面的重大担忧的阻碍.

研究的目的:

  • 提出一个新的,全面的框架,负责开发,评估和部署AI在医疗保健.
  • 引导人工智能开发人员和医疗保健专业人员创建道德,有效和可扩展的AI解决方案.

主要方法:

  • 拟议的框架包括四个关键阶段:人工智能解决方案设计和开发,人工智能解决方案合格,人工智能解决方案有效性和安全性评估以及人工智能解决方案影响.
  • 它为操作,临床和技术质量制定了严格的标准.

主要成果:

  • 该框架提供了一个结构化的方法来减轻与医疗保健中的AI相关的风险.
  • 它旨在促进人工智能开发人员和医疗保健专业人员之间的合作.

结论:

  • 实施这一框架可以帮助人工智能充分发挥其潜力,提高患者的治疗成果和医疗保健效率.
  • 这种结构化的方法对于确保AI在医疗环境中的道德和有效使用至关重要.