牙科学生和人工智能牙医诊断的比较
Hasibe Sevilay Bahadir1, Neslihan Büşra Keskin2, Emine Şebnem Kurşun Çakmak3
1Ankara Yıldırım Beyazıt University, Faculty of Dentistry, Department of Restorative Dentistry, Ankara, Turkey.
Journal of dental education
|December 21, 2024
概括
人工智能 (AI) 与牙科学生相比,在全景放射图上识别虫和填充方面表现出更高的诊断准确性. 人工智能显示出提高牙科教育和临床决策的前景.
科学领域:
- 牙科放射学 牙科放射学
- 人工智能在牙科中的应用
- 诊断的准确性 诊断的准确性
背景情况:
- 人工智能 (AI) 正在改变牙科,但它对牙科学生的具体好处需要澄清.
- 评估人工智能对诊断准确性的影响对于将其整合到牙科教育中至关重要.
研究的目的:
- 为了比较四年级 (4DS) 和最后一年级 (5DS) 牙科学生的诊断准确性与AI在分析全景射线图时.
- 为了确定AI在X射线图上识别各种牙疾病的有效性.
主要方法:
- 通过50个4DS,50个5DS和人工智能应用程序评估了50张全景放射和1602颗牙.
- 评估包括,填充物,根管治疗,牙周损失,提取,皇冠,顶部病变和受影响的牙.
- 奇方位分析比较了人类参与者和人工智能之间的诊断成功率.
主要成果:
- 在检测,填充和提取方面,人工智能显著超过本科生 (p < 0.05).
- 人工智能对顶病变和根管治疗的准确性更高,尽管在统计学上不显著 (p > 0.05).
结论:
- 人工智能擅长检测牙和填充,提供了提高牙科学生诊断准确性的潜力.
- 将AI整合到临床培训中可以提高牙科学生使用全景放射图的诊断技能和治疗决策.
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