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Updated: May 2, 2026

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改变癌症护理:对利用人工智能来推进贫困社区免疫疗法的叙述性审查
Victor M Vasquez1, Molly McCabe1, Jack C McKee1
1Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX 79905, USA.
Journal of clinical medicine
|August 14, 2025
概括
人工智能 (AI) 可以通过改善服务不足的人群的获取和结果来减少癌症免疫疗法差异. 应对算法偏见等挑战是实现在瘤学中的公平AI实施的关键.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 健康 公平 卫生 公平
背景情况:
- 癌症免疫疗法推进了癌症护理,但面临着缺少服务群体在获取和结果方面的差异.
- 人工智能 (AI) 提供了潜在的解决方案,可以弥合瘤学中的这些差距.
研究的目的:
- 审查人工智能如何减轻癌症免疫治疗的获取和结果差异.
- 探索人工智能应用,以提高癌症护理的包容性.
主要方法:
- 一个叙述性审查的同行评审文献从PubMed,IEEE Xplore,和arXiv.
- 搜索了关于人工智能,癌症免疫疗法和医疗保健挑战的出版物 (2015年1月 - 2024年4月).
主要成果:
- 人工智能工具 (机器学习,NLP,预测分析) 可以增强早期检测,个性化治疗,并改善临床试验多样性.
- 人工智能可以帮助管理副作用,扩大远程医疗,并解决健康的社会决定因素 (SDOH).
- 算法偏见,隐私和数据多样性是重大挑战.
结论:
- 蓄意的AI设计和实施可以减少癌症免疫疗法差异.
- 未来的工作应该优先考虑道德的人工智能部署,包容性数据和跨学科合作,以获得公平的瘤治疗.
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