新兴技术和算法为牙周查和风险的疾病进展在非牙科设置:一个范围审查
Eduardo Montero1,2, Nerea Sánchez1,2, Ignacio Sanz-Sánchez1,2
1Section of Graduate Periodontology, University Complutense of Madrid, Madrid, Spain.
Journal of clinical periodontology
|June 25, 2025
概括
在非牙科环境中对牙周病进行查是可行的. 经过验证的问卷,唾液生物标志物和人工智能算法显示出准确的检测和风险评估的前景.
科学领域:
- 牙周病学 牙周病学
- 公共卫生 公共卫生
- 诊断工具 诊断工具 诊断工具
背景情况:
- 牙周病对健康构成重大风险.
- 早期检测和风险评估对于管理至关重要.
- 非牙科机构为更广泛的查提供了机会.
研究的目的:
- 评估用于查牙周病的工具.
- 评估用于预测牙周病进展的工具.
- 专注于非牙科临床环境中的应用.
主要方法:
- 按照PRISMA-ScR指南进行系统的文献搜索.
- 对查和风险评估工具的已确定研究的数据综合.
- 使用QUADAS-2工具进行偏差风险评估.
主要成果:
- 在数据综合中包括了102项研究.
- 牙炎的查算法显示敏感度低;牙周炎的性能有所改善.
- 经验证的自我报告问卷,唾液生物标志物 (aMMP-8) 和人工智能算法 (OPG) 显示出牙周炎的高查能力.
结论:
- 牙周炎查在非牙科环境中是可行的.
- 经过验证的问卷是严重牙周炎查的黄金标准.
- 人工智能和唾液生物标志物对未来查策略显示出有希望的结果.
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