Abstract

Dental caries significantly impact global health, particularly in Pakistan, where the prevalence is notably high. This study assessed the diagnostic accuracy of mobile teledentistry in Islamabad and Rawalpindi by employing the International Caries Detection and Assessment System (ICDAS) as a benchmark. This cross-sectional validation study was conducted from July to September 2022 in nine private dental clinics involving 460 participants proficient in basic Android smartphone functions. The diagnostic procedure comprised initial in-person evaluations by dentists, subsequent remote assessments using images captured by smartphones based on verbal instructions, and validations by a third independent dentist. Statistical analyses were performed using sensitivity, specificity, Matthew’s correlation coefficient, and receiver operating characteristic (ROC) curves. Teledentistry achieved a specificity of 89% and a sensitivity of 70%. The positive and negative predictive values were 74.6% and 86%, respectively. The ROC curve analysis, with an area under the curve greater than 0.7, confirmed the high diagnostic efficacy of the method. The Cohen’s kappa statistic reached 0.814, demonstrating substantial interrater reliability, while the diagnostic odds ratio was 18, indicating strong discriminative power. This study confirmed that teledentistry, enabled by the use of smartphone cameras, serves as a reliable method for detecting dental caries, with efficacy comparable to that of conventional clinical examination methods. It significantly extends dental care accessibility, particularly in geographically remote or economically underserved regions, effectively mitigating the logistical challenges associated with traditional dental visits. The findings support the broader implementation of teledentistry, highlighting its potential to enhance mass screening efforts, improve oral health outcomes, and alleviate pressures on healthcare systems across diverse demographic landscapes.

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