ReviewDiagnostics (Basel, Switzerland)2023
Detection, Diagnosis, and Monitoring of Early Caries: The Future of Individualized Dental Care.
Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Effects of calcium-containing solutions on fluorescence-detectable plaque area and enamel mineral volume: an in vitro and exploratory clinical study.BMC oral health · 2026Trial
- Diagnostic accuracy and feasibility of artificial intelligence-driven smartphone imaging for dental caries detection: A systematic review.The Japanese dental science review · 2026Review
- DentSeg3: A Three-Branch Specialized Fusion Network for Dental Lesion Segmentation in Color Images.Journal of imaging informatics in medicine · 2026Article
- Diagnostic accuracy of ChatGPT and teledentistry compared with dentist examination in detecting dental caries: preliminary diagnostic accuracy study.BMC oral health · 2026Article
- Streptococcus dentisani and Streptococcus mutans in dental biofilm of preschoolers with and without early childhood caries: a cross-sectional study.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026Article
- Classification of occlusal caries severity using spectrophotometric CIELAB measurements and machine learning algorithms.Clinical oral investigations · 2026Article
- Cell-Based Biosensors in Oral Health: Emerging Tools for Rapid Detection and Monitoring of Oral Diseases.Biosensors · 2026Review
- Comparative Evaluation of the Clinical Performance of Two-step and One-step Self-etching Adhesive Systems and Self-etching Self-adhesive Composite in Permanent Molars in Pediatric Patients: A Three-arm Parallel Randomized Clinical Study.International journal of clinical pediatric dentistry · 2026Article
- Addressing Research Gaps in Early Childhood Caries: A Comprehensive Review.Dentistry journal · 2026Review
- Influence of White Spot Lesion Severity on the Structural, Optical, and Mechanical Outcomes of Resin Infiltration: An In Vitro Study.Diagnostics (Basel, Switzerland) · 2026Article
- Emerging trends in the early diagnosis of dental caries: a scoping review of artificial intelligence, digital diagnostics, and teledentistry.Evidence-based dentistry · 2026Article
- Classification of pediatric dental diseases from panoramic radiographs using natural language transformer and deep learning models.Frontiers in artificial intelligence · 2026Article
- Automated Classification of Enamel Caries from Intraoral Images Using Deep Learning Models: A Diagnostic Study.Journal of clinical medicine · 2025Article
- Ability of BlueCheck Liquid for Detection of Initial Lesions on Occlusal Surfaces In Vitro.Diagnostics (Basel, Switzerland) · 2025Article
- Diagnostic competence of senior dental students in detecting caries on panoramic radiographs with and without artificial intelligence assistance: a cross-sectional studycaries detection on panoramic radiographs.BMC medical education · 2025Article
- Mendelian Randomization Analysis Reveals No Causal Genetic Link Between Dentofacial Anomalies and Dental Caries.Oral health & preventive dentistry · 2025Article
- Adoption of minimally invasive dentistry in Palestine: assessing practices and barriers - a cross-sectional study.BMC oral health · 2025Article
- Clinical application of deep learning for enhanced multistage caries detection in panoramic radiographs.Scientific reports · 2025Article
- Article
- Artificial intelligence for dental caries detection: A mixup, fine-tuning, and quantization approach on the MobileNetV2 model.Journal of conservative dentistry and endodontics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dental caries remains a significant global health issue. It was highlighted by the World Health Organization's 2022 reports that despite the efforts and scientific advancements in caries detection and management, the situation has only marginally improved over the past three decades. The persistence of this problem may be linked to outdated concepts developed almost a century ago but are still guiding dentists' approach to caries management today. There is a need to reconsider professional strategies for preventing and managing the disease. Contemporary dentistry could benefit from embracing new concepts and technologies for caries detection and management. Dentists should explore, among others, alternative methods for caries detection such as optical-based caries detection. These tools have been established for over a decade and they align with current disease understanding and international recommendations, emphasizing early detection and minimally invasive management. This narrative review presents the current state of knowledge and recent trends in caries detection, diagnosis, monitoring, and management, offering insights into future perspectives for clinical applications and research topics.
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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.