Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, India.
Department of Stomatology, School of Medicine, Xiamen University, 361005, China.
Biomed Res Int. 2022 Jun 16;2022:1880113. doi: 10.1155/2022/1880113. eCollection 2022.
Artificial intelligence (AI) is a branch of science concerned with developing programs and computers that can gather data, reason about it, and then translate it into intelligent actions. AI is a broad area that includes reasoning, typical linguistic dispensation, machine learning, and planning. In the area of medicine and dentistry, machine learning is currently the most widely used AI application. This narrative review is aimed at giving an outline of cephalometric analysis in orthodontics using AI. Latest algorithms are developing rapidly, and computational resources are increasing, resulting in increased efficiency, accuracy, and reliability. Current techniques for completely automatic identification of cephalometric landmarks have considerably improved efficiency and growth prospects for their regular use. The primary considerations for effective orthodontic treatment are an accurate diagnosis, exceptional treatment planning, and good prognosis estimation. The main objective of the AI technique is to make dentists' work more precise and accurate. AI is increasingly being used in the area of orthodontic treatment. It has been evidenced to be a time-saving and reliable tool in many ways. AI is a promising tool for facilitating cephalometric tracing in routine clinical practice and analyzing large databases for research purposes.
人工智能(AI)是一门科学,致力于开发能够收集数据、推理、然后将其转化为智能行动的程序和计算机。人工智能是一个广泛的领域,包括推理、典型的语言分配、机器学习和规划。在医学和牙科领域,机器学习是目前应用最广泛的人工智能。本叙述性综述旨在概述使用 AI 进行的正畸头影测量分析。最新的算法发展迅速,计算资源不断增加,从而提高了效率、准确性和可靠性。目前,完全自动识别头影测量标志的技术已经大大提高了效率,并且为其常规使用提供了广阔的发展前景。有效的正畸治疗的主要考虑因素是准确的诊断、卓越的治疗计划和良好的预后估计。AI 技术的主要目标是使牙医的工作更加精确和准确。人工智能越来越多地应用于正畸治疗领域。它在许多方面被证明是一种节省时间和可靠的工具。人工智能是一种很有前途的工具,可以在常规临床实践中促进头影测量追踪,并在研究目的方面分析大型数据库。