{"title":"加强人工智能驱动的睡眠呼吸暂停诊断：输入信号的熟练程度至关重要，重点是下颌运动。","authors":"Jean-Benoit Martinot, Nhat-Nam Le-Dong, Atul Malhotra, Jean-Louis Pépin","doi":"10.1111/jopr.14003","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This review aims to highlight the pivotal role of the mandibular jaw movement (MJM) signal in advancing artificial intelligence (AI)-powered technologies for diagnosing obstructive sleep apnea (OSA).</p><p><strong>Methods: </strong>A scoping review was conducted to evaluate various aspects of the MJM signal and their contribution to improving signal proficiency for users.</p><p><strong>Results: </strong>The comprehensive literature analysis is structured into four key sections, each addressing factors essential to signal proficiency. These factors include (1) the comprehensiveness of research, development, and application of MJM-based technology; (2) the physiological significance of the MJM signal for various clinical tasks; (3) the technical transparency; and (4) the interpretability of the MJM signal. Comparisons with the photoplethysmography (PPG) signal are made where applicable.</p><p><strong>Conclusions: </strong>Proficiency in biosignal interpretation is essential for the success of AI-driven diagnostic tools and for maximizing the clinical benefits through enhanced physiological insight. Through rigorous research ensuring an enhanced understanding of the signal and its extensive validation, the MJM signal sets a new benchmark for the development of AI-driven diagnostic solutions in OSA diagnosis.</p>","PeriodicalId":49152,"journal":{"name":"Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing artificial intelligence-driven sleep apnea diagnosis: The critical importance of input signal proficiency with a focus on mandibular jaw movements.\",\"authors\":\"Jean-Benoit Martinot, Nhat-Nam Le-Dong, Atul Malhotra, Jean-Louis Pépin\",\"doi\":\"10.1111/jopr.14003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This review aims to highlight the pivotal role of the mandibular jaw movement (MJM) signal in advancing artificial intelligence (AI)-powered technologies for diagnosing obstructive sleep apnea (OSA).</p><p><strong>Methods: </strong>A scoping review was conducted to evaluate various aspects of the MJM signal and their contribution to improving signal proficiency for users.</p><p><strong>Results: </strong>The comprehensive literature analysis is structured into four key sections, each addressing factors essential to signal proficiency. These factors include (1) the comprehensiveness of research, development, and application of MJM-based technology; (2) the physiological significance of the MJM signal for various clinical tasks; (3) the technical transparency; and (4) the interpretability of the MJM signal. Comparisons with the photoplethysmography (PPG) signal are made where applicable.</p><p><strong>Conclusions: </strong>Proficiency in biosignal interpretation is essential for the success of AI-driven diagnostic tools and for maximizing the clinical benefits through enhanced physiological insight. Through rigorous research ensuring an enhanced understanding of the signal and its extensive validation, the MJM signal sets a new benchmark for the development of AI-driven diagnostic solutions in OSA diagnosis.</p>\",\"PeriodicalId\":49152,\"journal\":{\"name\":\"Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/jopr.14003\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jopr.14003","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
Enhancing artificial intelligence-driven sleep apnea diagnosis: The critical importance of input signal proficiency with a focus on mandibular jaw movements.
Purpose: This review aims to highlight the pivotal role of the mandibular jaw movement (MJM) signal in advancing artificial intelligence (AI)-powered technologies for diagnosing obstructive sleep apnea (OSA).
Methods: A scoping review was conducted to evaluate various aspects of the MJM signal and their contribution to improving signal proficiency for users.
Results: The comprehensive literature analysis is structured into four key sections, each addressing factors essential to signal proficiency. These factors include (1) the comprehensiveness of research, development, and application of MJM-based technology; (2) the physiological significance of the MJM signal for various clinical tasks; (3) the technical transparency; and (4) the interpretability of the MJM signal. Comparisons with the photoplethysmography (PPG) signal are made where applicable.
Conclusions: Proficiency in biosignal interpretation is essential for the success of AI-driven diagnostic tools and for maximizing the clinical benefits through enhanced physiological insight. Through rigorous research ensuring an enhanced understanding of the signal and its extensive validation, the MJM signal sets a new benchmark for the development of AI-driven diagnostic solutions in OSA diagnosis.
期刊介绍：
The Journal of Prosthodontics promotes the advanced study and practice of prosthodontics, implant, esthetic, and reconstructive dentistry. It is the official journal of the American College of Prosthodontists, the American Dental Association-recognized voice of the Specialty of Prosthodontics. The journal publishes evidence-based original scientific articles presenting information that is relevant and useful to prosthodontists. Additionally, it publishes reports of innovative techniques, new instructional methodologies, and instructive clinical reports with an interdisciplinary flair. The journal is particularly focused on promoting the study and use of cutting-edge technology and positioning prosthodontists as the early-adopters of new technology in the dental community.
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