使用人工智能在口腔照片上检测牙损伤:一个系统的审查
Mohammad Moharrami1,2, Julie Farmer1, Sonica Singhal1,3
1Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada.
Oral diseases
|July 1, 2023
概括
人工智能 (AI) 显示出从口腔照片中检测牙的前景,F1分数从42.8%到95.4%不等. 进一步的研究应该标准化指标,并评估损伤严重程度,以提高AI性能.
科学领域:
- 牙科 牙科是指牙科的专业.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 检测牙腐烂对于口腔健康至关重要.
- 人工智能和机器学习为客观的诊断工具提供了潜力.
- 口腔照片越来越多地用于牙科评估.
研究的目的:
- 系统地审查和评估人工智能模型在使用口腔照片检测牙虫方面的表现.
- 评估人工智能用于虫检测研究的方法质量和绩效指标.
主要方法:
- 在EMBASE,Medline和Scopus系统地进行文献搜索.
- 包括19项关于深度学习和机器学习算法的研究.
- 使用QUADAS-2工具进行偏差风险评估.
主要成果:
- 人工智能模型F1检测的得分差异很大 (42.8%-95.4%).
- 性能根据相机类型有所不同:专业 (68.3%-95.4%),口内 (78.8%-87.6%) 和智能手机 (42.8%-80%).
- 有限的研究评估了AI在不同严重程度的脏病中的表现.
结论:
- 人工智能具有客观验证病诊断和改善患者沟通的潜力.
- 未来的研究需要强大的设计,标准化的指标,并专注于病变的严重程度.
- 人工智能可以支持远程牙科和临床决策在管理.
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