一种新型人工智能 (AI) 模型在检测口腔和牙科疾病方面的有效性
Ravi Rathod1, Saffa Dean2, Christopher Sproat3
1Guy's and St Thomas' NHS Foundation Trust, London, UK. ravi.rathod@nhs.net.
BDJ open
|June 30, 2025
概括
人工智能 (AI) 在从口腔内照片中检测口腔病理方面表现有前途,性能与牙医相比. 这种AI诊断工具可以帮助临床医生在早期发现疾病并改善牙科工作流程.
科学领域:
- 口腔卫生保健创新的创新
- 医学中的人工智能
- 数字牙科数字牙科
背景情况:
- 人工智能 (AI) 可以分析患者提供的口腔内照片,以早期检测牙病理,如牙和牙炎.
- 人工智能算法提供远程评估功能,提高口腔保健的可访问性.
研究的目的:
- 通过使用口腔内图像,评估用于常见口腔病理的新型AI模型的诊断准确性.
- 将AI性能与人类牙科专家诊断进行比较.
主要方法:
- 一个卷积神经网络 (CNN) 人工智能模型被开发和训练了超过5000个口内图像.
- 人工智能模型对斑块,结石,牙炎和的检测在90张未见的图像上进行了测试.
- 人工智能性能与51名牙医审查相同图像的诊断进行了基准测试.
主要成果:
- 牙医获得了82.09%的准确性,而人工智能模型在诊断病理方面达到81.11%的准确性.
- 在81.02%的病例中,AI的诊断与临床医生的发现相匹配.
- 统计分析 (p > 0.05) 证实AI和牙医平均绩效之间没有显著差异.
结论:
- 机器学习人工智能模型显示出在牙科中作为诊断辅助工具的巨大潜力.
- 人工智能集成可以增强临床诊断工作流程,支持早期检测牙科问题.
- 人工智能的进步有望进一步巩固其在牙科实践中的作用.
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