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人工智能在口腔疾病诊断中的应用:系统评价。

Artificial Intelligence in Diagnosis of Oral Diseases: A Systematic Review.

机构信息

Department of Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Qassim University, Buraydah, Saudi Arabia, Phone: +96 6533653299, e-mail:

Department of Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Qassim University, Buraydah, Saudi Arabia.

出版信息

J Contemp Dent Pract. 2023 Jan 1;24(1):61-68. doi: 10.5005/jp-journals-10024-3465.

DOI:10.5005/jp-journals-10024-3465
PMID:37189014
Abstract

AIM

To understand the role of Artificial intelligence (AI) in oral radiology and its applications.

BACKGROUND

Over the last two decades, the field of AI has undergone phenomenal progression and expansion. Artificial intelligence applications have taken up new roles in dentistry like digitized data acquisition and machine learning and diagnostic applications.

MATERIALS AND METHODS

All research papers outlining the population, intervention, control, and outcomes (PICO) questions were searched for in PubMed, ERIC, Embase, CINAHL, database from the last 10 years on first January 2023. Two authors independently reviewed the titles and abstracts of the selected studies, and any discrepancy between the two review authors was handled by a third reviewer. Two independent investigators evaluated all the included studies for the quality assessment using the modified tool for the quality assessment of diagnostic accuracy studies (QUADAS- 2).

REVIEW RESULTS

After the removal of duplicates and screening of titles and abstracts, 18 full texts were agreed upon for further evaluation, of which 14 that met the inclusion criteria were included in this review. The application of artificial intelligence models has primarily been reported on osteoporosis diagnosis, classification/segmentation of maxillofacial cysts and/or tumors, and alveolar bone resorption. Overall study quality was deemed to be high for two (14%) studies, moderate for six (43%) studies, and low for another six (43%) studies.

CONCLUSION

The use of AI for patient diagnosis and clinical decision-making can be accomplished with relative ease, and the technology should be regarded as a reliable modality for potential future applications in oral diagnosis.

摘要

目的

了解人工智能(AI)在口腔放射学中的作用及其应用。

背景

在过去的二十年中,人工智能领域经历了惊人的发展和扩张。人工智能应用在牙科领域扮演了新的角色,如数字化数据采集和机器学习以及诊断应用。

材料和方法

在 PubMed、ERIC、Embase、CINAHL 数据库中搜索了所有描述人口、干预、对照和结局(PICO)问题的研究论文,并在 2023 年 1 月 1 日之前搜索了过去 10 年的研究论文。两位作者独立审查了所选研究的标题和摘要,如果两位审查作者之间存在分歧,则由第三位审查作者处理。两位独立研究者使用改良的诊断准确性研究质量评估工具(QUADAS-2)评估了所有纳入研究的质量评估。

综述结果

在去除重复项和筛选标题和摘要后,有 18 篇全文被认为可以进一步评估,其中有 14 篇符合纳入标准的研究被纳入本综述。人工智能模型的应用主要报告了骨质疏松症的诊断、颌面囊肿和/或肿瘤的分类/分割以及牙槽骨吸收。两项(14%)研究的总体研究质量被认为较高,六项(43%)研究的总体研究质量被认为中等,另有六项(43%)研究的总体研究质量被认为较低。

结论

使用 AI 进行患者诊断和临床决策制定相对容易,应将该技术视为口腔诊断中潜在未来应用的可靠模式。

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