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一种以家庭为中心的正牙查方法,使用基于机器学习的移动应用程序.

Banu Kılıç1, Ahmed Hassan İbrahim2, Selahattin Aksoy2

  • 1Bezmialem Vakif University, Istanbul, Turkey.

Journal of dental sciences
|February 2, 2024
PubMed
概括

一个新的移动应用程序使用人工智能从一张照片中检测骨缺陷,帮助儿童早期正牙诊断. 这个工具赋予父母信息,以便及时干预.

关键词:
角度为III类的角度.人工智能的人工智能是人工智能.早期诊断 早期诊断 早期诊断机器学习 机器学习不良的包容性 不良的包容性远程医疗远程医疗

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科学领域:

  • 矯正牙科 矯正牙科是一種矯正牙科.
  • 人工智能的人工智能
  • 儿科牙科 儿科牙科

背景情况:

  • 骨架正牙变形影响功能和美学,需要早期检测.
  • 延迟的正牙检查往往导致儿童错过了理想的治疗窗口.
  • 移动技术为可访问的初步牙科查提供了一种新的方法.

研究的目的:

  • 开发和评估基于机器学习的移动应用程序,用于早期的骨缺陷诊断.
  • 帮助家长在最佳治疗年龄之前识别潜在的正牙问题.
  • 通过用户友好的技术,改善对正牙护理的准入.

主要方法:

  • 进行了一项回顾性研究,涉及524名青春期前儿童 (5-12岁).
  • 开发了一个移动应用程序来分析面部照片的骨缺陷指标.
  • 机器学习模型经过训练和验证,以分类不同类型的缺陷.

主要成果:

  • 第三类恶性闭塞检测模型的准确度超过81%.
  • 一个单独的验证数据集显示,II类与I类缺陷检测的准确率为69%.
  • 该应用程序成功地从单个照片中识别了骨缺陷.

结论:

  • 移动应用程序提供初步诊断,赋予父母关键信息的权力.
  • 早期检测和明智的决策可以改善正牙治疗的结果.
  • 这项技术有潜力提高正义牙科护理的可访问性,特别是在服务不足的地区.