在儿童牙科中基于人工智能的自动诊断的概述
Suba B Rajinikanth1, Densingh Samuel Raj Rajkumar2, Akshay Rajinikanth3
1Faculty of Medicine, Srilalithambigai Medical College and Hospital, DR MGR Educational and Research Institute, Chennai, India.
Frontiers in oral health
|January 8, 2025
概括
人工智能 (AI) 通过分析用于早期检测牙科问题的数据集来增强儿科牙科诊断. 先进的机器学习算法显示,与人类牙医相比,提高诊断准确性是有前途的.
科学领域:
- 计算机科学 计算机科学
- 生物医学工程 生物医学工程
背景情况:
- 人工智能 (AI) 是一门计算机科学领域,专注于创造智能机器.
- 机器学习 (ML) 是人工智能的子集,它利用数据集来训练诊断算法.
研究的目的:
- 综合审查人工智能在儿童牙科诊断中的应用.
- 在现场识别当前和新兴的AI驱动诊断工具.
主要方法:
- 从2024年5月25日至7月1日进行了系统的在线数据库搜索.
- 包括使用人工智能的儿童牙科自动诊断或结果预测的原始研究研究.
主要成果:
- 人工智能的应用涵盖了超数/沉没牙的诊断,早期牙损伤检测,斑块诊断,骨年龄评估,法医牙科和预防性口腔护理.
- 深度学习和卷积神经网络 (CNN) 代表了潜在的复杂,多层次算法的新兴领域.
结论:
- 人工智能为改善儿科牙科诊断准确性和效率提供了巨大的潜力.
- 人工智能,特别是深度学习的持续进步,预计将产生更复杂的诊断工具,可能会超过经验丰富的临床医生.
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