喘中的人工智能:当前状态,机遇和陷
Athena Gogali1, Christos Kyriakopoulos1, Dimitrios Potonos1
1Respiratory Medicine Department, University of Ioannina, Ioannina, Greece.
概括
人工智能 (AI) 和机器学习 (ML) 正在通过改进诊断,风险评估和个性化治疗来彻底改变喘护理. 这些技术增强了临床决策,支持医生管理这种复杂的呼吸系统疾病.
科学领域:
- 计算生物学是一种计算生物学.
- 呼吸系统药物 呼吸系统药物
- 人工智能的人工智能
背景情况:
- 由于喘的复杂性,多样化的表型/内型以及常见的治疗坚持问题,喘存在诊断和管理方面的挑战.
- 尽管有治疗方法,但对许多患者来说,有效控制喘仍然很困难.
- 人工智能和机器学习方面的进步为改善医疗决策和患者治疗结果提供了新的工具.
研究的目的:
- 审查最近 (3年) 关于AI和ML在喘中的应用的文献.
- 在喘诊断,风险评估,分类和管理中对AI/ML的当前知识进行映射.
- 确定AI/ML在精确性喘护理中的未来研究方向.
主要方法:
- 对过去三年出版的科学文献进行叙述性审查.
- 专注于将AI/ML技术整合到喘护理各个方面的研究.
- 分析风险识别,查,诊断,分类,恶化预测和指导治疗中的应用.
主要成果:
- 通过分析大型数据集,AI/ML在增强喘诊断,分类和风险预测方面显示出显著的希望.
- 应用范围包括早期诊断,个性化治疗策略和恶化预防.
- 人工智能/ML工具越来越多地被整合到喘管理中,支持精准医学.
结论:
- 人工智能和机器学习是提高喘诊断,分类和风险评估准确性的宝贵工具.
- 这些技术有可能个性化喘治疗并预防喘恶化.
- 人工智能将增强,而不是取代临床医生,优化喘护理中的医疗决策和实践.
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