虫检测人工智能:我们离临床使用有多近?
Neeraj Gugnani1, Shalini Gugnani2
1Department of Pedodontics and Preventive Dentistry, DAV (C) Dental College, Yamunanagar, Haryana, India. drgugnani@gmail.com.
Evidence-based dentistry
|January 27, 2026
概括
人工智能 (AI) 平台在使用临床和X射线图像检测牙损伤时表现出高准确度. 这次系统审查强调了人工智能.
科学领域:
- 牙科 牙科是指牙科的专业.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 检测牙腐烂对于及时干预至关重要.
- 传统的方法可能是主观和耗时的.
- 人工智能为客观和高效的病诊断提供了潜力.
研究的目的:
- 系统地审查和元分析人工智能平台在检测牙损伤方面的表现.
- 用临床和放射成像方式评估AI准确性.
主要方法:
- 在八个电子数据库中进行系统的文献搜索 (2000年1月至2024年3月).
- 在选了2538篇文章后,包括了45项研究 (33个X射线图像,12个临床图像).
- 使用QUADAS-2和CLAIM进行质量评估;叙事综合和元分析 (7项研究).
主要成果:
- 临床图像的平均精度为78.2%;X射线图像的平均精度为81.5%.
- 分析结果:总体灵敏度76%,特异性91%.
- 在HSROC曲线下的曲线下面积 (AUC):92%.
结论:
- 人工智能模型表明,对于精确检测牙腐烂有很大的潜力.
- 高灵敏度和特异性表明AI在识别的可靠性.
- 人工智能平台可以帮助临床医生提高诊断准确性和患者护理.
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