Department of Restorative Dentistry & Endodontics, Faculty of Dentistry, University of Puthisastra, Phnom Penh 12211, Cambodia.
Department of Conservative Dentistry & Endodontics, Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences University, Chennai, 600077 Tamil Nadu, India.
Comput Math Methods Med. 2023 Jan 31;2023:7049360. doi: 10.1155/2023/7049360. eCollection 2023.
This comprehensive review is aimed at evaluating the diagnostic and prognostic accuracy of artificial intelligence in endodontic dentistry.
Artificial intelligence (AI) is a relatively new technology that has widespread use in dentistry. The AI technologies have primarily been used in dentistry to diagnose dental diseases, plan treatment, make clinical decisions, and predict the prognosis. AI models like convolutional neural networks (CNN) and artificial neural networks (ANN) have been used in endodontics to study root canal system anatomy, determine working length measurements, detect periapical lesions and root fractures, predict the success of retreatment procedures, and predict the viability of dental pulp stem cells. . The literature was searched in electronic databases such as Google Scholar, Medline, PubMed, Embase, Web of Science, and Scopus, published over the last four decades (January 1980 to September 15, 2021) by using keywords such as artificial intelligence, machine learning, deep learning, application, endodontics, and dentistry.
The preliminary search yielded 2560 articles relevant enough to the paper's purpose. A total of 88 articles met the eligibility criteria. The majority of research on AI application in endodontics has concentrated on tracing apical foramen, verifying the working length, projection of periapical pathologies, root morphologies, and retreatment predictions and discovering the vertical root fractures.
In endodontics, AI displayed accuracy in terms of diagnostic and prognostic evaluations. The use of AI can help enhance the treatment plan, which in turn can lead to an increase in the success rate of endodontic treatment outcomes. The AI is used extensively in endodontics and could help in clinical applications, such as detecting root fractures, periapical pathologies, determining working length, tracing apical foramen, the morphology of root, and disease prediction.
本综述旨在评估人工智能在牙髓学中的诊断和预后准确性。
人工智能（AI）是一种相对较新的技术，在牙科领域得到了广泛应用。AI 技术主要用于诊断口腔疾病、制定治疗计划、做出临床决策和预测预后。像卷积神经网络（CNN）和人工神经网络（ANN）这样的 AI 模型已经在牙髓学中用于研究根管系统解剖结构、确定工作长度测量值、检测根尖病变和根折、预测再治疗程序的成功率以及预测牙髓干细胞的活力。该文献在电子数据库中进行了检索，如 Google Scholar、Medline、PubMed、Embase、Web of Science 和 Scopus，检索时间为过去四十年（1980 年 1 月至 2021 年 9 月 15 日），使用的关键词包括人工智能、机器学习、深度学习、应用、牙髓学和牙科。
初步搜索产生了 2560 篇与本文目的相关的文章。共有 88 篇文章符合入选标准。大多数关于 AI 在牙髓学中的应用研究集中在追踪根尖孔、验证工作长度、预测根尖病变、根形态和再治疗预测以及发现垂直根折上。
在牙髓学中，人工智能在诊断和预后评估方面表现出了准确性。AI 的使用可以帮助完善治疗计划，从而提高牙髓治疗效果的成功率。AI 在牙髓学中得到了广泛的应用，并可能有助于临床应用，如检测根折、根尖病变、确定工作长度、追踪根尖孔、根形态和疾病预测。
