本体学作为人工智能和医疗保健之间的语义桥梁
Radha Ambalavanan1, R Sterling Snead1, Julia Marczika1
1Research Department, The Self Research Institute, Broken Arrow, OK, United States.
Frontiers in digital health
|September 15, 2025
概括
在医疗保健中,本体学对人工智能至关重要,它可以改善数据共享和决策支持. 应对复杂性和伦理等挑战是实现个性化,连接的医疗保健的关键.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人工智能的人工智能
- 医学本体学的医学本体学
背景情况:
- 实体学是人工智能和医疗保健之间的桥梁,为更好的数据互操作性,临床决策支持和精准医学创造结构化知识.
- 它们是开发适应性,可互操作的医疗保健框架的基础,这些框架与医学和技术进步保持一致.
研究的目的:
- 突出本体论在推进人工智能驱动的医疗保健中的关键作用.
- 探索本体论如何促进个性化,准确和全球连接的医疗保健解决方案.
主要方法:
- 在PubMed,Scopus和谷歌学者中进行了有针对性的文献审查.
- 在2010年至2025年间发表的研究被优先考虑,以往的开创性作品被列入历史背景.
- 专注于人工智能在医疗保健中的本体应用,强调语义集成和互操作性.
主要成果:
- 实体学标准化了医疗概念,使各种数据集 (临床,基因组,表型) 的语义集成成为可能.
- 它们增强了人工智能应用,包括临床决策支持,预测分析,自然语言处理 (NLP) 和患者特异性疾病建模.
- 实体学解决了数据碎片化和不一致的术语,提高了数据清晰度.
结论:
- 本体学集成面临挑战:计算复杂性,可扩展性,语义与标准不匹配 (SNOMED CT,HL7 FHIR) 以及道德问题 (隐私,偏见).
- 建议采用适应模型,治理框架和人工智能辅助管理等策略来克服这些障碍.
- 这些进步旨在促进个性化,准确和全球互操作的医疗保健系统.
关键词:
人工智能的人工智能是人工智能.临床决策支持 临床决策支持伦理的人工智能医疗保健整合 医疗保健整合多模式数据集成多模式数据集成自然语言处理自然语言处理.存在的本体学 存在的本体学语义互操作性语义互操作性更多相关视频
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