基于AL的牙损检测:与临床检查进行比较分析
Mohammad K Alam1,2,3, Nawadir H Alanazi1, Mona S Alazmi1
1Department of Preventive Dentistry, College of Dentistry, Jouf University, Sakaka, Saudi Arabia.
Journal of pharmacy & bioallied sciences
|April 10, 2024
概括
人工智能 (AI) 显示出有前途的牙腐烂检测高精度,与传统方法相比. 这项技术可以帮助减少诊断错误,提高牙科实践的效率.
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:
- 牙损是一个全球性的公共卫生问题.
- 传统的虫检测方法可能耗时,容易出现人为错误.
- 人工智能 (AI) 提供了提高诊断准确性和效率的潜力.
研究的目的:
- 探索人工智能在彻底改变牙虫检测方面的潜力.
- 将人工智能系统的诊断性能与传统的临床检查进行比较.
主要方法:
- 分析了50名患有不同程度牙损的患者队列.
- 牙科专业人员的临床检查是黄金标准.
- 人工智能算法通过牙科图像进行训练,并根据临床发现进行评估.
主要成果:
- 人工智能系统实现了92%的灵敏度,85%的特异性和88%的整体准确性.
- 临床检查显示灵敏度为86%,特异性为90%,整体准确度为88%.
- 基于人工智能的检测和临床检查之间没有发现显著差异 (P > 0.05).
结论:
- 人工智能技术显示出作为牙医实践者的辅助工具的潜力.
- 人工智能可能有助于减少诊断错误,提高虫检测的效率.
- 整合人工智能可能会导致更早的检测和改善口腔健康结果.
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