ArticleClinical, cosmetic and investigational dentistry2019
Clinical applications of intraoral camera to increase patient compliance - current perspectives.
Article in Clinical, cosmetic and investigational dentistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07327060 (Effect of Intraoral Camera-Assisted Parent Training on Children's Oral Hygiene and Parent Oral Health Literacy), which is not on this map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect of Intraoral Camera-Assisted Parent Training on Children's Oral Hygiene and Parent Oral Health Literacy: A Randomized Controlled Trial
Who cites it
12 citing papers in PubMed.
- Knowledge, attitude, and practice of digital dentistry among dentists in rural and urban clinical settings in Western India: a descriptive cross-sectional study.Frontiers in oral health · 2026Article
- The effect of using intra-oral camera as an educational aid for oral health promotion in children.European oral research · 2025Article
- Artificial Intelligence and Modern Technology in Dentistry: Attitudes, Knowledge, Use, and Barriers Among Dentists in Croatia-A Survey-Based Study.Clinics and practice · 2024Article
- Oral screening of dental calculus, gingivitis and dental caries through segmentation on intraoral photographic images using deep learning.BMC oral health · 2024Article
- Article
- Virtual dental autopsy: undertaking forensic dental identification remotely using an intra-oral video camera.The Journal of forensic odonto-stomatology · 2024Article
- Tooth caries classification with quantitative light-induced fluorescence (QLF) images using convolutional neural network for permanent teeth in vivo.BMC oral health · 2023Article
- Facilitating dental disease screening program in prisoners using an intraoral camera in teledentistry.BDJ open · 2023Article
- Caries detection with tooth surface segmentation on intraoral photographic images using deep learning.BMC oral health · 2022Article
- Accuracy and effectiveness of teledentistry: a systematic review of systematic reviews.Evidence-based dentistry · 2022Review
- Feasibility and acceptability of an oral pathology asynchronous tele-mentoring intervention: A protocol.Journal of public health research · 2020Article
- A real-time interactive restoration system for intraoral digital videos using segment anything model.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Technological advancements in the field of dentistry have reformed the concept of photography as a powerful medium of expression and communication. It also offers a spectrum of perception, interpretation, and execution. One of the widespread clinical applications of computerization in dentistry today is the intraoral camera (IOC). It helps in the revelation of the hidden and overlooked defects in teeth and other parts of the cavity. Dental world constitutes of microstructures that have to be recorded in a detailed manner to perform patient education, documentation of records and treatment, illustration of lectures, publication and web connectivity of complicated cases. This review emphasizes the significant applications of IOC in dentistry and its possible impact on patient compliance for dental care.
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Registered trials
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.