在重症监护中理解人工智能:机遇,风险和实际应用
Naira Link Woite1,2, Rodrigo R Gameiro1,2, Marianna Leite3
1Department of Medicine, Beth Israel Deaconess Medical Center - Boston, Massachusetts, United States.
Critical care science
|August 20, 2025
概括
医疗保健中的人工智能 (AI) 提供了更好的诊断和治疗,但由于偏见的数据,可能会加剧差异. 解决道德和环境问题对于公平的AI整合至关重要.
科学领域:
- 医疗保健技术
- 医疗信息学
- 医学的人工智能
背景情况:
- 人工智能正在快速发展, 改变医疗保健, 减少错误, 改善诊断和优化治疗.
- 人工智能应用越来越普遍,FDA批准的设备有助于诊断,监测和个性化患者护理.
研究的目的:
- 审查当前医疗保健领域的人工智能.
- 强调人工智能整合的好处,风险和挑战.
- 强调减轻偏见和环境影响,以实现公平和可持续的人工智能采用.
主要方法:
- 对当前医疗保健人工智能技术的叙述性审查.
- 对人工智能实施的好处,风险和挑战进行分析.
- 探讨道德问题,包括偏见,隐私和环境影响.
主要成果:
- 人工智能有望显著改善医疗保健, 但面临着算法偏见,数据隐私问题和监管障碍等挑战.
- 有偏见的人工智能系统,通常在不多样化的数据集上进行训练,可能会使代表性不足的群体的健康差异恶化.
- 人工智能对环境的影响,包括高能耗和温室气体排放,带来进一步的挑战,不成比例地影响弱势群体.
结论:
- 减轻人工智能风险需要多样化的数据集,强大的审计,提高透明度和跨学科的合作.
- 解决人工智能的环境足迹对于全球健康公平至关重要.
- 有关企业责任,政府政策和可持续的人工智能实践的系统性变化对于负责任的人工智能在医疗保健中的整合是必要的.
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