自然语言处理在改善癌症护理中的作用:用叙事合成进行范围审查
Mengxuan Sun1, Ehud Reiter2, Lisa Duncan1
1Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom.
Artificial intelligence in medicine
|July 31, 2025
概括
自然语言处理 (NLP) 可以通过数据分析和患者支持来增强癌症护理. 然而,这些人工智能工具的临床评估和整合仍然有限,需要合作才能取得未来的成功.
科学领域:
- 计算语言学和瘤学.
- 医疗保健中的人工智能.
背景情况:
- 自然语言处理 (NLP) 提供了促进癌症治疗的潜力.
- 目前的研究探讨了NLP在瘤学的各种应用.
研究的目的:
- 对癌症护理中NLP系统的研究进行审查.
- 探索用例和总结研究进展.
主要方法:
- 进行了全面的范围审查.
- 在六个主要的学术数据库中搜索相关研究.
- 包括和分析了涉及NLP用于癌症管理的研究.
主要成果:
- 分析了29项研究,主要关注混合癌症类型和乳腺癌.
- NLP的应用包括患者教育,临床数据总结,早期检测和治疗决策支持.
- 很少有NLP技术经过临床评估或实施,没有评估临床结果的研究.
结论:
- NLP具有个性化和自动化癌症护理过程的巨大潜力.
- 聊天机器人和信息提取工具显示出患者沟通和支持的前景.
- 临床评估和整合挑战需要计算机科学家和临床医生之间的跨学科合作.
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