Ding Hao, Wu Jiamin, Zhao Wuyuan, Matinlinna Jukka P, Burrow Michael F, Tsoi James K H
Applied Oral Sciences & Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Division of Dentistry, School of Medical Sciences, The University of Manchester, Manchester, United Kingdom.
Front Dent Med. 2023 Feb 20;4:1085251. doi: 10.3389/fdmed.2023.1085251. eCollection 2023.
Artificial Intelligence (AI) is the ability of machines to perform tasks that normally require human intelligence. AI is not a new term, the concept of AI can be dated back to 1950. However, it did not become a practical tool until two decades ago. Owing to the rapid development of three cornerstones of current AI technology-big data (coming through digital devices), computational power, and AI algorithm-in the past two decades, AI applications have started to provide convenience to people's lives. In dentistry, AI has been adopted in all dental disciplines, i.e., operative dentistry, periodontics, orthodontics, oral and maxillofacial surgery, and prosthodontics. The majority of the AI applications in dentistry are for diagnosis based on radiographic or optical images, while other tasks are not as applicable as image-based tasks mainly due to the constraints of data availability, data uniformity, and computational power for handling 3D data. Evidence-based dentistry (EBD) is regarded as the gold standard for decision making by dental professionals, while AI machine learning (ML) models learn from human expertise. ML can be seen as another valuable tool to assist dental professionals in multiple stages of clinical cases. This review describes the history and classification of AI, summarizes AI applications in dentistry, discusses the relationship between EBD and ML, and aims to help dental professionals better understand AI as a tool to support their routine work with improved efficiency.
人工智能(AI)是指机器执行通常需要人类智能才能完成的任务的能力。人工智能并不是一个新术语,其概念可以追溯到1950年。然而,直到二十年前它才成为一种实用工具。由于在过去二十年中当前人工智能技术的三大基石——大数据(通过数字设备产生)、计算能力和人工智能算法——的迅速发展,人工智能应用已开始为人们的生活提供便利。在牙科领域,人工智能已被应用于所有牙科专业,即牙体牙髓病学、牙周病学、正畸学、口腔颌面外科学和口腔修复学。牙科领域的大多数人工智能应用都是基于放射图像或光学图像进行诊断,而其他任务不像基于图像的任务那样适用,主要是由于数据可用性、数据一致性以及处理三维数据的计算能力等方面的限制。循证牙科(EBD)被视为牙科专业人员决策的黄金标准,而人工智能机器学习(ML)模型则从人类专业知识中学习。机器学习可以被视为在临床病例的多个阶段协助牙科专业人员的另一种有价值的工具。这篇综述描述了人工智能的历史和分类,总结了人工智能在牙科领域的应用,讨论了循证牙科与机器学习之间的关系,旨在帮助牙科专业人员更好地理解人工智能这一工具,以提高效率来支持他们的日常工作。