人工智能促进种族和民族心血管健康公平
Daniel Amponsah1, Ritu Thamman2, Eric Brandt3
1Division of Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA, USA.
Current cardiovascular risk reports
|March 27, 2025
概括
人工智能 (AI) 可以帮助解决心脏病学中的种族不平等问题,但也可能延续偏见. 谨慎的开发和部署对于在心血管保健中公平的AI至关重要.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 健康 公平 卫生 公平
背景情况:
- 人工智能 (AI) 具有改善心血管保健结果的潜力.
- 人工智能被设想为一种工具,用于检测和减轻心血管医学中的种族和种族不平等.
- 然而,人工智能算法可以隐藏和传播偏见,对公平的医疗保健构成风险.
研究的目的:
- 审查人工智能在心脏病学领域的发展.
- 检查AI在识别和解决医疗保健不平等方面的作用.
- 讨论在心血管健康中公平地利用人工智能的关切和策略.
主要方法:
- 对心脏病学中人工智能的当前文献的综述.
- 分析AI在偏见检测和缓解方面的潜力.
- 探索促进人工智能研发中的多样性战略.
主要成果:
- 人工智能可以在诊断和缓解心脏病学中的种族/种族不平等方面具有价值.
- 由于训练数据多样性有限和监测不足,人工智能可能无意中延续偏见.
- 需要采取严格的努力来解决AI的局限性,并确保公平的部署.
结论:
- 在心血管保健中实施人工智能需要仔细的数据收集和数据集审查.
- 确保公平的AI性能需要严格的测试和持续的算法监控.
- 促进劳动力的多样性和利益相关者的参与对于人工智能驱动的心血管健康公平至关重要.
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