人工智能在支持性瘤学和症状管理的机会
Elyssa N Kim1,2, Krisstina Gowin1, Anne Reb1
1City of Hope National Medical Center, Los Angeles, CA.
Cancer journal (Sudbury, Mass.)
|November 18, 2025
概括
人工智能 (AI) 通过个性化症状管理和预测不良事件来增强瘤支持护理. 这项技术有望改善患者的治疗结果和生活质量,尽管存在实施方面的挑战.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健,为患者护理提供新的方法.
- 支持性护理和症状管理是瘤治疗的关键组成部分.
- 需要个性化的干预措施来改善患者报告的癌症护理结果.
研究的目的:
- 审查关于人工智能在瘤支持性护理中的应用的当前研究.
- 探索AI在个性化干预和症状管理方面的潜力.
- 确定人工智能在支持性瘤学中的挑战和未来方向.
主要方法:
- 文献综述综合了当前关于AI在瘤支持护理方面的研究.
- 检查人工智能驱动的工具,用于症状监测和不良事件预测.
- 对实时数据和个性化建议的机器学习集成的分析.
主要成果:
- 人工智能提供个性化的症状监测和对不良事件的预测分析.
- 机器学习使实时数据分析能够进行主动干预和缓解症状.
- 人工智能应用显示出改善支持性瘤学患者报告结果的潜力.
结论:
- 人工智能集成到支持性瘤学中可以个性化护理并优化症状控制.
- 人工智能有可能显著改善癌症患者的生活质量.
- 对于广泛的临床采用,需要解决数据隐私,偏见和验证等挑战.
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