Applications of artificial intelligence in restorative dentistry: a scoping review.

IF 1.3 4区医学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE

Quintessence international Pub Date : 2024-06-28 DOI:10.3290/j.qi.b5437507

Ahmed M Aziz, Zaid Hamdoon, Adam Bin Husein, Shaima Dheyab, Fajer Obaid

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引用次数: 0

Abstract

Objective: Artificial intelligence (AI) applications in restorative dentistry have remarkably increased in the past 5 years. This review outlines the applications, promises, and limitations of AI in the most performed procedures in restorative dentistry.

Method and materials: An electronic search was performed in four databases: MEDLINE/PubMed, Embase, Web of Science, and Scopus. The search included articles published in English language without date restriction. Two independent reviewers assessed the eligibility of the studies and performed data extraction. Any discrepancy was resolved by the consensus of a third reviewer.

Results: A total of 33 studies were included in this review. For AI applications in restorative dentistry, the included studies were classified into three main groups: (1) diagnosis, detection, and prediction of the disease, (2) detection and prediction of the longevity of dental restorations, and (3) teeth detection and treatments. For each study, the AI model, type of dataset, sample size, and main results (accuracy, precision, sensitivity, and specificity) were reported.

Conclusions: AI systems are promising as advantageous aids for diagnosis, prediction, and treatment in dentistry, with a high degree of accuracy. Despite the AI promises, several limitations are still unresolved and must be addressed to bridge the gap between technology and clinical applications.

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人工智能在牙科修复中的应用：范围综述。

目的：人工智能（AI）在口腔修复学中的应用在过去五年中显著增加。本综述概述了人工智能在牙科修复术中的应用、前景和局限性：方法：在 4 个数据库中进行了电子检索：方法：在 4 个数据库中进行了电子检索：MEDLINE/PubMed、Embase、Web of Science 和 Scopus。检索包括以英文发表的文章，无日期限制。两名独立审稿人对研究的资格进行评估，并进行数据提取。任何不一致之处均由第三位审稿人协商一致解决：本综述共纳入 33 项研究。对于人工智能在牙科修复中的应用，纳入的研究主要分为三类：1）疾病的诊断、检测和预测；2）牙科修复体寿命的检测和预测；3）牙齿检测和治疗。每项研究都报告了人工智能模型、数据集类型、样本大小和主要结果（准确度、精确度、灵敏度和特异性）：结论：人工智能系统有望成为牙科诊断、预测和治疗的有利辅助工具，并具有很高的准确性。尽管人工智能前景广阔，但仍有一些局限性尚未解决，必须加以解决，以缩小技术与临床应用之间的差距。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Quintessence international 医学-牙科与口腔外科

CiteScore

3.30

自引率

5.30%

发文量

审稿时长

1 months

期刊介绍： QI has a new contemporary design but continues its time-honored tradition of serving the needs of the general practitioner with clinically relevant articles that are scientifically based. Dr Eli Eliav and his editorial board are dedicated to practitioners worldwide through the presentation of high-level research, useful clinical procedures, and educational short case reports and clinical notes. Rigorous but timely manuscript review is the first order of business in their quest to publish a high-quality selection of articles in the multiple specialties and disciplines that encompass dentistry.