探讨十年的牙科深度学习:一个全面的映射审查
Fatemeh Sohrabniya1, Sahel Hassanzadeh-Samani1,2, Seyed AmirHossein Ourang2
1ITU/WHO/WIPO Global Initiative on Artificial Intelligence for Health - Dental Diagnostics and Digital Dentistry, Geneva, Switzerland.
Clinical oral investigations
|February 19, 2025
概括
牙科领域的深度学习已经迅速发展,特别是在使用卷积神经网络 (CNN) 和成像数据的诊断方面. 未来的研究应该专注于新的模型,数据多样性和可解释的AI用于临床集成.
科学领域:
- 牙科信息学 牙科信息学
- 医疗保健中的人工智能
- 机器学习应用 机器学习应用
背景情况:
- 人工智能 (AI),特别是深度学习,正在改变医疗保健诊断和治疗计划.
- 牙科已经看到人工智能的重大影响,在诊断,治疗规划和预后预测方面有应用.
研究的目的:
- 系统地绘制牙科中深度学习的当前应用.
- 为牙科研究中深度学习的趋势,模型和临床意义提供全面的概述.
- 确定人工智能驱动的牙科护理未来改进的领域.
主要方法:
- 2012年1月至2023年9月期间发表的研究的系统映射审查.
- 在PubMed,Scopus和Embase进行的数据库搜索.
- 提取数据的定性合成,包括临床目的,深度学习任务,模型架构和数据模式.
主要成果:
- 在21,242项选中,包括了1,007项研究.
- 牙科领域的深度学习主要针对诊断任务 (63.5%),主要使用卷积神经网络 (CNN).
- 分类 (43.7%) 和细分 (22.9%) 是主要任务,成像数据 (84.4%) 是最常见的模式. 病理学,放射学和牙科是关键领域.
结论:
- 深度学习,特别是CNN,在牙科诊断方面取得了重大进展,但需要进一步探索新的架构和学习方法.
- 获取多样化和可靠的注释数据对于在牙科中推进深度学习模型至关重要.
- 将人工智能从研究转化为临床实践需要通过可解释人工智能 (XAI) 培养信任,并解决道德问题.
相关概念视频
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The Crown, Neck, and Root
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The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or grinding food.
01:26Assessment of the Mouth
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Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.