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Peer Review of “Dental Tissue Density in Healthy Children Based on Radiological Data: Retrospective Analysis”

Peer Review of “Dental Tissue Density in Healthy Children Based on Radiological Data: Retrospective Analysis”

In the Methods section, the authors could compare the densities of hard tissues in the same patient by groups of teeth depending on the period of tooth bud formation. 4. The conclusions should be improved with a statement regarding the importance of the method for current practice and for its automatic use.

Anonymous

JMIRx Med 2024;5:e62676

Dental Tissue Density in Healthy Children Based on Radiological Data: Retrospective Analysis

Dental Tissue Density in Healthy Children Based on Radiological Data: Retrospective Analysis

Nowadays, there are various methods of clinical, laboratory, and instrumental studies that allow us not only to assess the initial condition of hard and soft tooth tissues but also to evaluate their change during therapeutic and preventive procedures [1,2]. Dynamic monitoring of dental tissue condition is required in trauma, after transplantation, and during therapeutic and preventive procedures [3-5].

Aleksey Reshetnikov, Natalia Shaikhattarova, Margarita Mazurok, Nadezhda Kasatkina

JMIRx Med 2024;5:e56759

Time Efficiency, Reliability, and User Satisfaction of the Tooth Memo App for Recording Oral Health Information: Cross-Sectional Questionnaire Study

Time Efficiency, Reliability, and User Satisfaction of the Tooth Memo App for Recording Oral Health Information: Cross-Sectional Questionnaire Study

This study was conducted to evaluate the time efficiency, reliability, and user satisfaction of the Tooth Memo app. This cross-sectional study compares the efficiency of 3 data collection methods for oral health surveys and explores the user satisfaction with the Tooth Memo app. The 3 methods for oral health survey data collection are (1) pen-and-paper (manual), (2) Tooth Memo app in i OS (i OS), and (3) Tooth Memo app in Android (Android).

Palinee Detsomboonrat, Pagaporn Pantuwadee Pisarnturakit

JMIR Form Res 2024;8:e56143

Tooth-Related Disease Detection System Based on Panoramic Images and Optimization Through Automation: Development Study

Tooth-Related Disease Detection System Based on Panoramic Images and Optimization Through Automation: Development Study

Findings of each tooth-related disease (ie, coronal caries or defect, proximal caries, cervical caries or abrasion, periapical radiolucency, residual root, in clockwise order from the top left). Findings of each tooth-related disease. Labeling was performed by data collection and preprocessing, and thus, an image classification model was used to learn about each of the 5 tooth-related diseases.

Changgyun Kim, Hogul Jeong, Wonse Park, Donghyun Kim

JMIR Med Inform 2022;10(10):e38640