人工智能预测类风湿性关节炎和脊椎关节炎的治疗反应:一个范围审查
Diego Benavent1, Loreto Carmona2, Jose Francisco García Llorente3
1Rheumatology Department, Hospital Universitari de Bellvitge, Carrer de la Feixa Llarga, s/n, L'Hospitalet de Llobregat, 08907, Barcelona, Spain. d_benavent@hotmail.com.
Rheumatology international
|April 7, 2025
概括
人工智能 (AI) 可以预测类风湿性关节炎 (RA) 和脊椎关节炎 (SpA) 的治疗反应. 虽然对个性化医学有希望,但人工智能模型需要改进,以便在更广泛的临床应用中使用.
科学领域:
- 类风湿病学 类风湿病学
- 人工智能的人工智能
- 生物医学信息学 生物医学信息学
背景情况:
- 类风湿性关节炎 (RA) 和脊椎关节炎 (SpA) 需要个性化治疗策略.
- 预测患者对治疗的反应对于优化治疗结果至关重要.
研究的目的:
- 分析人工智能 (AI) 应用程序,以预测RA和SPA的治疗反应.
- 综合当前关于人工智能方法,数据源和预测性能的证据.
主要方法:
- 在Medline,Embase和Cochrane数据库中进行系统的文献搜索 (至2024年8月).
- 包括89项专注于人工智能的研究,用于预测RA和SpA的治疗反应.
- 对人工智能模型,数据类型和性能指标的数据的提取和描述合成.
主要成果:
- 监督机器学习,无监督集群和深度学习是常见的AI技术.
- 数据来源包括电子健康记录,生物标志物,遗传学,蛋白质组学和成像.
- 预测准确度在60-70%之间,AUC值为0.63-0.92;多omics和成像显示出有希望.
结论:
- 人工智能通过预测治疗反应,为RA和SPA的个性化医学提供了显著的潜力.
- 方法异质性,数据整合和验证是关键的挑战.
- 需要进一步的研究来完善人工智能模型并将其整合到临床实践中,以改善治疗决策.
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