大数据和人工智能:目前的状态和未来的机会在过敏和免疫学
Kim Kamphorst1, Jamila de Jong1, Nicholas L Rider2
1Department of Pediatrics, Deventer Ziekenhuis, Deventer, the Netherlands.
The journal of allergy and clinical immunology. In practice
|September 24, 2025
概括
人工智能 (AI) 和大数据正在通过提高患者护理和研究来彻底改变过敏和免疫学. 这些技术提供了新的诊断和治疗策略,尽管成功实施必须解决数据集成和伦理方面的挑战.
科学领域:
- 过敏和免疫学 过敏和免疫学
- 计算生物学 计算生物学
- 医疗信息学 医疗信息学
背景情况:
- 过敏和免疫学领域正在被人工智能 (AI) 和大数据分析的进步所改变.
- 多样化的数据源,如电子健康记录,可穿戴设备和多组资料,正在实现重大创新.
- 人工智能技术,特别是机器学习,对于分析复杂的免疫学数据至关重要.
研究的目的:
- 审查人工智能和大数据在过敏和免疫学的当前应用.
- 突出这些技术在改善患者护理和临床决策方面的潜力.
- 讨论在临床实践中采用人工智能的挑战和伦理考虑.
主要方法:
- 关于人工智能和大数据在过敏和免疫学中的应用的当前文献的综述.
- 分析现实世界的例子,证明AI对诊断和治疗的影响.
- 检查包括数据标准化,隐私,偏见和可解释性在内的挑战.
主要成果:
- 人工智能和大数据正在实现早期诊断,个性化治疗策略和优化生物选择.
- 应用包括识别疾病表型,预测恶化和自动化测试解释.
- 正在加强对治疗有效性和安全性的真实世界的证据生成.
结论:
- 人工智能和大数据具有巨大的潜力,可以推进过敏和免疫学的护理和研究.
- 解决与数据集成,隐私,偏见和道德实施相关的挑战至关重要.
- 跨学科的合作和对基础设施和培训的投资对于成功采用是必不可少的.
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