Evidence map›Paper›PMID 39511933›Full record

ArticleClinical and experimental dental research2024

A Pilot Investigation Into the Use of Teledentistry and Artificial Intelligence to Assess Dental Erosion in Competitive Swimmers.

Jacopo Lanzetti, Federica Ferrati, Lorenzo Pavone, Federico Mussano

Abstract read
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Article in Clinical and experimental dental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jacopo LanzettiDepartment of Oral Rehabilitation and Maxillofacial Prosthesi-Dental School, University of Turin, Turin, Italy.ORCID 0000-0002-8153-7517
Federica FerratiDepartment of Oral Rehabilitation and Maxillofacial Prosthesi-Dental School, University of Turin, Turin, Italy.
Lorenzo PavoneBone and Dental Bioengineering Laboratory, Department of Surgical Sciences, CIR Dental School, University of Turin, Turin, Italy.ORCID 0009-0009-3885-7142
Federico MussanoBone and Dental Bioengineering Laboratory, Department of Surgical Sciences, CIR Dental School, University of Turin, Turin, Italy.

Funding

The authors received no specific funding for this work.
6 · The paper itself

Abstract

objectiveThe aim of the study was to assess the prevalence of dental erosion in competitive swimmers using teledentistry and artificial intelligence. MATERIALS AND

methodsAn 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.

resultsThe 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).

conclusionsBecause 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.

Indexed as

Artificial IntelligenceSwimmingTooth ErosionAdolescentAdultFemaleHumansMalePilot ProjectsPrevalenceSurveys and QuestionnairesTelemedicineYoung Adultartificial intelligencecompetitive swimmersdental erosionsport medicineteledentistry

Identifiers

PMID39511933
PMCPMC11544033

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.