机器学习在牙科中的应用:见解,前景和挑战
Lin Wang1, Yanyan Xu2, Weiqian Wang3
1Hangzhou Stomatology Hospital, Hangzhou, China.
Acta odontologica Scandinavica
|March 27, 2025
概括
机器学习 (ML) 正在彻底改变牙科,提高诊断精度和个性化治疗计划. 解决数据隐私和伦理方面的挑战对于未来牙科ML应用的进步至关重要.
科学领域:
- 牙科 牙科是指牙科的专业.
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 机器学习 (ML) 正在提高临床牙科的精度和效率.
- ML推动了牙科护理提供和质量的改进.
研究的目的:
- 强调需要在牙科中开发ML,以克服传统技术的局限性.
- 讨论牙科实践中的ML原则,应用和未来前景.
- 概述牙科ML实施的挑战.
主要方法:
- 采用了一个叙事审查方法.
- 在主要的科学数据库 (PubMed/MEDLINE,科学网,ScienceDirect,IEEE Xplore) 中进行了全面的文献搜索.
主要成果:
- 机器学习显示出牙科的巨大潜力,提高了诊断效率和个性化治疗计划.
- ML集成简化了牙科工作流程,提高了治疗的诊断精度.
- 关键的挑战包括数据隐私,安全性,可解释性和道德考虑.
结论:
- 机器学习为牙科诊断,个性化治疗规划和护理工作流程提供了变革性的影响.
- 解决数据隐私,安全,可解释性和伦理问题对于未来的牙科ML研究至关重要.
- 将ML模型与诊断工具相结合将大大提高牙科手术的效率和精度.
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