Application of Machine Learning in the Diagnosis of Temporomandibular Disorders: An Overview.

IF 2.9 3区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Oral diseases Pub Date : 2025-03-03 DOI:10.1111/odi.15300

Xiayanran Wu, Yunhao Zheng, Chaolin He, Yiwei Liu, Qian Cheng, Xin Xiong, Jun Wang

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引用次数: 0

Abstract

Objectives: Temporomandibular disorders (TMDs) refer to a group of disorders related to the temporomandibular joint (TMJ), the diagnosis of which is important in dental practice but remains challenging for nonspecialists. With the development of machine learning (ML) methods, ML-based TMDs diagnostic models have shown great potential. The purpose of this review is to summarize the application of ML in TMDs diagnosis, as well as future directions and possible challenges.

Methods: PubMed, Google Scholar, and Web of Science databases were searched for electronic literature published up to October 2024, in order to describe the current application of ML in the classification and diagnosis of TMDs.

Results: We summarized the application of various ML methods in the diagnosis and classification of different subtypes of TMDs and described the role of different imaging modalities in constructing diagnostic models. Ultimately, we discussed future directions and challenges that ML methods may confront in the application of TMDs diagnosis.

Conclusions: The screening and diagnosis models of TMDs based on ML methods hold significant potential for clinical application, but still need to be further verified by a large number of multicenter data and longitudinal studies.

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机器学习在颞下颌疾病诊断中的应用综述

目的：颞下颌关节疾病（TMDs）是指一组与颞下颌关节（TMJ）有关的疾病，其诊断在牙科实践中很重要，但对非专业人员仍然具有挑战性。随着机器学习方法的发展，基于机器学习的tmd诊断模型显示出巨大的潜力。本文综述了ML在tmd诊断中的应用，以及未来的发展方向和可能面临的挑战。方法：检索PubMed、b谷歌Scholar和Web of Science数据库截止2024年10月发表的电子文献，描述ML在tmd分类和诊断中的应用现状。结果：我们总结了各种ML方法在tmd不同亚型诊断和分类中的应用，并描述了不同成像方式在构建诊断模型中的作用。最后，我们讨论了机器学习方法在tmd诊断应用中可能面临的未来方向和挑战。结论：基于ML方法的tmd筛查诊断模型具有较大的临床应用潜力，但仍需通过大量多中心数据和纵向研究进一步验证。

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

Oral diseases 医学-牙科与口腔外科

CiteScore

7.60

自引率

5.30%

发文量

325

审稿时长

4-8 weeks

期刊介绍： Oral Diseases is a multidisciplinary and international journal with a focus on head and neck disorders, edited by leaders in the field, Professor Giovanni Lodi (Editor-in-Chief, Milan, Italy), Professor Stefano Petti (Deputy Editor, Rome, Italy) and Associate Professor Gulshan Sunavala-Dossabhoy (Deputy Editor, Shreveport, LA, USA). The journal is pre-eminent in oral medicine. Oral Diseases specifically strives to link often-isolated areas of dentistry and medicine through broad-based scholarship that includes well-designed and controlled clinical research, analytical epidemiology, and the translation of basic science in pre-clinical studies. The journal typically publishes articles relevant to many related medical specialties including especially dermatology, gastroenterology, hematology, immunology, infectious diseases, neuropsychiatry, oncology and otolaryngology. The essential requirement is that all submitted research is hypothesis-driven, with significant positive and negative results both welcomed. Equal publication emphasis is placed on etiology, pathogenesis, diagnosis, prevention and treatment.