Prosthodontics Unit, School of Dental Sciences, Health Campus, Universiti Sains Malaysia, 16150 Kubang Kerian, Kota Bharu, Kelantan, Malaysia.
Department of Prosthodontics, Altamash Institute of Dental Medicine, Karachi 75500, Pakistan.
Biomed Res Int. 2021 Jun 22;2021:9751564. doi: 10.1155/2021/9751564. eCollection 2021.
The objective of this systematic review was to investigate the quality and outcome of studies into artificial intelligence techniques, analysis, and effect in dentistry.
Using the MeSH keywords: artificial intelligence (AI), dentistry, AI in dentistry, neural networks and dentistry, machine learning, AI dental imaging, and AI treatment recommendations and dentistry. Two investigators performed an electronic search in 5 databases: PubMed/MEDLINE (National Library of Medicine), Scopus (Elsevier), ScienceDirect databases (Elsevier), Web of Science (Clarivate Analytics), and the Cochrane Collaboration (Wiley). The English language articles reporting on AI in different dental specialties were screened for eligibility. Thirty-two full-text articles were selected and systematically analyzed according to a predefined inclusion criterion. These articles were analyzed as per a specific research question, and the relevant data based on article general characteristics, study and control groups, assessment methods, outcomes, and quality assessment were extracted.
The initial search identified 175 articles related to AI in dentistry based on the title and abstracts. The full text of 38 articles was assessed for eligibility to exclude studies not fulfilling the inclusion criteria. Six articles not related to AI in dentistry were excluded. Thirty-two articles were included in the systematic review. It was revealed that AI provides accurate patient management, dental diagnosis, prediction, and decision making. Artificial intelligence appeared as a reliable modality to enhance future implications in the various fields of dentistry, i.e., diagnostic dentistry, patient management, head and neck cancer, restorative dentistry, prosthetic dental sciences, orthodontics, radiology, and periodontics.
The included studies describe that AI is a reliable tool to make dental care smooth, better, time-saving, and economical for practitioners. AI benefits them in fulfilling patient demand and expectations. The dentists can use AI to ensure quality treatment, better oral health care outcome, and achieve precision. AI can help to predict failures in clinical scenarios and depict reliable solutions. However, AI is increasing the scope of state-of-the-art models in dentistry but is still under development. Further studies are required to assess the clinical performance of AI techniques in dentistry.
本系统评价的目的是调查人工智能技术在牙科领域的研究质量和结果。
使用 MeSH 关键词：人工智能（AI）、牙科、牙科中的 AI、神经网络与牙科、机器学习、AI 牙科成像、AI 治疗建议与牙科。两名调查员在 5 个数据库中进行了电子搜索：PubMed/MEDLINE（美国国立医学图书馆）、Scopus（爱思唯尔）、ScienceDirect 数据库（爱思唯尔）、Web of Science（科睿唯安）和 Cochrane 协作网（Wiley）。筛选出报告 AI 在不同牙科专业应用的英语文章，以确定其是否符合入选标准。选择 32 篇全文文章，并根据预先确定的纳入标准进行系统分析。这些文章根据特定的研究问题进行分析，并提取基于文章一般特征、研究和对照组、评估方法、结果和质量评估的相关数据。
最初的搜索根据标题和摘要确定了 175 篇与牙科人工智能相关的文章。对 38 篇文章的全文进行评估，以排除不符合纳入标准的研究。排除了 6 篇与牙科人工智能无关的文章。32 篇文章被纳入系统评价。结果表明，人工智能可提供准确的患者管理、牙科诊断、预测和决策。人工智能似乎是一种可靠的模式，可以增强牙科各个领域的未来影响，例如诊断牙科、患者管理、头颈部癌症、修复牙科、修复牙科科学、正畸学、放射学和牙周病学。
纳入的研究表明，人工智能是一种可靠的工具，可以使从业者的牙科护理更加顺畅、更好、节省时间和经济。人工智能使他们能够满足患者的需求和期望。牙医可以使用人工智能确保治疗质量、更好的口腔保健效果，并实现精准。人工智能可以帮助预测临床场景中的失败，并提供可靠的解决方案。然而，人工智能正在增加牙科领域的最先进模型的范围，但仍在发展中。需要进一步研究来评估人工智能技术在牙科中的临床性能。
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