人工智能在医学中的挑战
Bakheet Aldosari1, Hanan Aldosari1, Abdullah Alanazi1
1College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Studies in health technology and informatics
|April 9, 2025
概括
医学中的人工智能 (AI) 提供了好处,但需要仔细整合. 解决自动化偏见,伦理问题和确保透明度对于安全有效的AI医疗保健解决方案至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 人工智能 (AI) 提供了显著的机会,以提高医疗保健提供和患者的结果.
- 然而,人工智能融入医疗实践伴随着需要彻底检查的重大挑战.
研究的目的:
- 综合审查与将人工智能整合到医学中的关键挑战.
- 强调在人工智能医疗保健中道德考虑,人类监督和协作开发的重要性.
主要方法:
- 本综述综合了当前关于医疗保健人工智能的知识,重点关注潜在的陷和必要的保障措施.
- 探讨的关键领域包括AI系统中的自动化偏见,道德义务,透明度和问责制.
主要成果:
- 过度依赖人工智能可能会导致自动化偏见,这凸显了需要采用人类在循环中的方法的需要.
- 隐私,知情同意和数据保护等道德考虑是最重要的.
- 透明度和问责制对于识别和减轻人工智能系统中的偏见和错误至关重要.
结论:
- 成功地将人工智能整合到医疗保健中,需要强大的伦理框架,偏见缓解策略和透明度措施.
- 医疗保健提供者和人工智能开发人员之间的合作对于确保患者安全和遵守法律和道德标准至关重要.
- 克服这些挑战将使人工智能能够在医疗保健中充分发挥其潜力,优先考虑患者安全,伦理和优质护理.
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