在医疗保健行业开发人工智能系统中利用本体学
Elahe Parsanasab1, Alihasan Ahmadipour2, Esmaeil Mehraeen3
1Faculty of Basic Sciences, Yasouj University, Yasouj, Iran.
Healthcare informatics research
|November 20, 2025
概括
本体学通过实现语义数据交换来改善决策和互操作性,从而改善医疗保健AI. 制定量身定制的方法对于推进智能医疗保健系统至关重要.
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
- 知识表示 知识表示
背景情况:
- 在医疗保健中,本体学对于管理各种概念和促进信息共享至关重要.
- 将人工智能 (AI) 整合到医疗保健中,需要强大的工具,如本体学,以提高服务质量.
研究的目的:
- 审查在医疗保健人工智能系统中的本体学的应用,好处,挑战和局限性.
- 了解本体论对推进人工智能技术和改善医疗保健流程的影响.
- 为开发和利用在智能医疗保健中的本体学提供建议.
主要方法:
- 对医疗保健中的本体学现有研究进行系统审查.AI.
- 应用,好处,挑战和局限性的分析.
- 为本体论的开发和使用制定建议.
主要成果:
- 实体学提高了结果的准确性,并通过语义数据交换支持医疗决策.
- 它们对于开发决策支持系统和智能患者医疗互动至关重要.
- 实体学促进疾病,地理和环境因素关系的语义分析.
结论:
- 实体学增强了数据分析,患者诊断,治疗和医疗保健中的决策.
- 它们通过数据建模和知识丰富改进人工智能系统的互操作性和数据推断.
- 由于领域的复杂性和数据的多样性,需要针对医疗保健领域的实体学开发量身定制的方法.
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