人工智能在过敏性疾病中的应用和研究进展
Hong Tan1, Xuehua Zhou1, Huajie Wu1
1Department of Pediatrics, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China.
International journal of medical sciences
|April 30, 2025
概括
人工智能 (AI) 有助于预测,诊断和管理喘等过敏疾病. 这篇评论探讨了人工智能.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 过敏学 过敏学
背景情况:
- 过敏性疾病是慢性,非传染性疾病,影响生活质量.
- 人工智能 (AI) 为医疗应用提供先进的数据分析.
- 机器学习和深度学习等人工智能技术在医疗保健中越来越多地使用.
研究的目的:
- 审查人工智能在过敏疾病管理中的应用和进展.
- 专注于AI在喘,亚托皮炎,食物过敏,过敏性鼻炎和疹中的作用.
- 分析AI在临床实践中的优势和局限性.
主要方法:
- 对过敏性疾病中人工智能应用的文献综述.
- 分析人工智能技术,包括机器学习,深度学习和自然语言处理.
- 对用于疾病预测,诊断,治疗和管理的AI研究的综合.
主要成果:
- 人工智能在临床风险预测和改善诊断准确度方面显示出重大潜力.
- 人工智能有助于药物开发,精确治疗和对过敏症的个性化管理.
- 该研究涵盖了AI在各种过敏疾病 (包括喘和疹) 的进展.
结论:
- 人工智能工具可以支持医疗保健专业人员管理过敏疾病.
- 需要对人工智能方法进行进一步的研究和分析,以优化临床整合.
- 人工智能为医疗团队和过敏学研究人员提供了宝贵的参考资料.
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