Jacopo Lanzetti, Federica Ferrati, Lorenzo Pavone, Federico Mussano
{"title":"使用远程牙科和人工智能评估竞技游泳运动员牙齿腐蚀情况的试点调查。","authors":"Jacopo Lanzetti, Federica Ferrati, Lorenzo Pavone, Federico Mussano","doi":"10.1002/cre2.70018","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>The aim of the study was to assess the prevalence of dental erosion in competitive swimmers using teledentistry and artificial intelligence.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>An opportunistic sample of 20 competitive swimmers was recruited. The participants reported that they carried out an average of 2.40 h of training per day, 4.45 days per week. Data gathering was carried out remotely. The subjects completed a digital questionnaire and uploaded three photos of their mouth. Intraoral photographs were analyzed using the “Intact-Tooth” application to assess dental erosion. A statistical analysis was carried out to verify a possible correlation between the collected data.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The average calculated Basic Erosive Wear Examination (BEWE) index was 13.95, and 11 subjects (55%) had a severe BEWE (≥ 14). More than 40% of the participants disagreed about having social issues related to tooth hypersensitivity. Considering only subjects with a severe total BEWE value, we have observed an indirect correlation between the degree of dental erosion and diet (Pearson coefficient <i>r</i> = −0.57), whereas a direct correlation was observed between dental erosion and age (<i>r</i> = 0.493) and between BEWE and weekly training hours (<i>r</i> = 0.217).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Because of their lifestyle, competitive swimmers can be considered at a higher risk of developing dental erosion. In this context, teledentistry and AI tools can be effectively used to intercept those at the highest risk and prevent the occurrence of conditions.</p>\n </section>\n \n <section>\n \n <h3> Summary</h3>\n \n <p>Dental erosion assessment in competitive swimmers using teledentistry and AI.</p>\n </section>\n </div>","PeriodicalId":10203,"journal":{"name":"Clinical and Experimental Dental Research","volume":"10 6","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11544033/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Pilot Investigation Into the Use of Teledentistry and Artificial Intelligence to Assess Dental Erosion in Competitive Swimmers\",\"authors\":\"Jacopo Lanzetti, Federica Ferrati, Lorenzo Pavone, Federico Mussano\",\"doi\":\"10.1002/cre2.70018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>The aim of the study was to assess the prevalence of dental erosion in competitive swimmers using teledentistry and artificial intelligence.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Materials and Methods</h3>\\n \\n <p>An opportunistic sample of 20 competitive swimmers was recruited. The participants reported that they carried out an average of 2.40 h of training per day, 4.45 days per week. Data gathering was carried out remotely. The subjects completed a digital questionnaire and uploaded three photos of their mouth. Intraoral photographs were analyzed using the “Intact-Tooth” application to assess dental erosion. A statistical analysis was carried out to verify a possible correlation between the collected data.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The average calculated Basic Erosive Wear Examination (BEWE) index was 13.95, and 11 subjects (55%) had a severe BEWE (≥ 14). More than 40% of the participants disagreed about having social issues related to tooth hypersensitivity. Considering only subjects with a severe total BEWE value, we have observed an indirect correlation between the degree of dental erosion and diet (Pearson coefficient <i>r</i> = −0.57), whereas a direct correlation was observed between dental erosion and age (<i>r</i> = 0.493) and between BEWE and weekly training hours (<i>r</i> = 0.217).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Because of their lifestyle, competitive swimmers can be considered at a higher risk of developing dental erosion. 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A Pilot Investigation Into the Use of Teledentistry and Artificial Intelligence to Assess Dental Erosion in Competitive Swimmers
Objective
The aim of the study was to assess the prevalence of dental erosion in competitive swimmers using teledentistry and artificial intelligence.
Materials and Methods
An opportunistic sample of 20 competitive swimmers was recruited. The participants reported that they carried out an average of 2.40 h of training per day, 4.45 days per week. Data gathering was carried out remotely. The subjects completed a digital questionnaire and uploaded three photos of their mouth. Intraoral photographs were analyzed using the “Intact-Tooth” application to assess dental erosion. A statistical analysis was carried out to verify a possible correlation between the collected data.
Results
The average calculated Basic Erosive Wear Examination (BEWE) index was 13.95, and 11 subjects (55%) had a severe BEWE (≥ 14). More than 40% of the participants disagreed about having social issues related to tooth hypersensitivity. Considering only subjects with a severe total BEWE value, we have observed an indirect correlation between the degree of dental erosion and diet (Pearson coefficient r = −0.57), whereas a direct correlation was observed between dental erosion and age (r = 0.493) and between BEWE and weekly training hours (r = 0.217).
Conclusions
Because of their lifestyle, competitive swimmers can be considered at a higher risk of developing dental erosion. In this context, teledentistry and AI tools can be effectively used to intercept those at the highest risk and prevent the occurrence of conditions.
Summary
Dental erosion assessment in competitive swimmers using teledentistry and AI.
期刊介绍：
Clinical and Experimental Dental Research aims to provide open access peer-reviewed publications of high scientific quality representing original clinical, diagnostic or experimental work within all disciplines and fields of oral medicine and dentistry. The scope of Clinical and Experimental Dental Research comprises original research material on the anatomy, physiology and pathology of oro-facial, oro-pharyngeal and maxillofacial tissues, and functions and dysfunctions within the stomatognathic system, and the epidemiology, aetiology, prevention, diagnosis, prognosis and therapy of diseases and conditions that have an effect on the homeostasis of the mouth, jaws, and closely associated structures, as well as the healing and regeneration and the clinical aspects of replacement of hard and soft tissues with biomaterials, and the rehabilitation of stomatognathic functions. Studies that bring new knowledge on how to advance health on the individual or public health levels, including interactions between oral and general health and ill-health are welcome.
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