通过人工智能的股权驱动应用来增强神经瘤学护理
Mulki Mehari1, Youssef Sibih1, Abraham Dada1
1Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA.
Neuro-oncology
|August 19, 2024
概括
神经瘤学中的人工智能 (AI) 可以改善瘤诊断和预测结果,但以公平为导向的应用有限. 这篇评论探讨了人工智能.
科学领域:
- 神经瘤学神经瘤学
- 人工智能的人工智能
- 健康 公平 卫生 公平
背景情况:
- 脑瘤患者的结果受到瘤生物学,人口统计学和健康的社会决定因素的影响.
- 人工智能 (AI) 在神经瘤学中越来越多地用于诊断和预测结果.
- 目前神经瘤学中的AI应用还没有充分解决健康公平问题.
研究的目的:
- 审查当前在神经瘤学中的AI应用.
- 识别和提出人工智能驱动的解决方案,以解决神经瘤学的健康不平等问题.
- 提出一个框架,将健康公平纳入神经瘤学AI研究.
主要方法:
- 在神经瘤学中对AI现有文献的共识审查.
- 对更广泛的医疗人工智能应用进行分析,以获得健康公平的见解.
- 为公平的人工智能集成提出框架的开发.
主要成果:
- 人工智能有可能解决神经瘤护理方面的差异.
- 更广泛的医疗AI股权框架可以为神经瘤学提供信息.
- 需要一个结构化的方法来实现公平的AI实施.
结论:
- 人工智能为推进神经瘤学中的健康公平提供了巨大的潜力.
- 将公平融入人工智能研究需要一个有意识的框架.
- 解决局限性和伦理考虑对于负责任的AI部署至关重要.
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