ArticleDento maxillo facial radiology2023
Factors affecting interpretation of dental radiographs.
Article in Dento maxillo facial radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application and performance of artificial intelligence-based models in the detection, segmentation and classification of periapical lesions: a systematic review.Frontiers in dental medicine · 2025Pooled it
- Machine learning algorithms enhance the accuracy of radiographic diagnosis of dental caries: a comparative study.Dento maxillo facial radiology · 2025Trial
- Comparative study of 360° virtual reality and traditional two-dimensional video in nonface-to-face dental radiology classes: focusing on learning satisfaction and self-efficacy.BMC medical education · 2023Trial
- Multicentre Evaluation of AI-Assisted Caries Detection on Panoramic Radiographs Among Early-Career Dentists.International dental journal · 2026Article
- Artificial Intelligence in Dental Education: A Pilot Study of Caries Detection Accuracy and Instructor Agreement.Journal of dental education · 2026Article
- Fuzzy Logic and Fuzzy-Based Artificial Intelligence in Dentistry: A Systematic Review.Diagnostics (Basel, Switzerland) · 2026Review
- Diagnostic accuracy of ChatGPT-5 in evaluating root canal treatment and periapical pathosis on periapical radiographs.Restorative dentistry & endodontics · 2026Article
- Development and Validation of AI System for Tooth Detection and Diagnosis in Dental Radiographs.International dental journal · 2026Article
- Effect of conspicuity level on dental students' visual attention to impacted maxillary canines on panoramic radiographs: an eye-tracking study.BMC oral health · 2026Article
- Attention capture and satisfaction of search in dental radiography: an eye-tracking study on the impact of dominant pathologies on visual search behavior among dental students.Head & face medicine · 2026Article
- Deep learning versus general dentists: a clinical evaluation of caries diagnostic accuracy on bitewing radiographs.BMC oral health · 2026Article
- Deep learning-based identification, classification and segmentation of infraosseous periodontal defects using a YOLOv8 neural network.BMC oral health · 2026Article
- Selling Sickness or Helping Patients in the Age of Artificial Intelligence.Dentistry journal · 2026Article
- The Influence of Panoramic Radiograph Quality on the Accuracy of AI-Based Tooth Detection.Diagnostics (Basel, Switzerland) · 2026Article
- Operator-related low diagnostic quality in bitewing examinations performed with sensors.Acta odontologica Scandinavica · 2026Article
- Deep learning-based caries lesion classification of primary teeth using bitewing radiographs and its comparison with dental professionals.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026Article
- Radiographic evaluation of root canal fillings: can undergraduate dental students perform it?BMC medical education · 2026Article
- Assessing the Role of Artificial Intelligence in Caries Detection and Clinical Decision-Making: A Scoping Review.Caries research · 2026Review
- FDA-Approved AI Solutions in Dental Imaging: A Narrative Review of Applications, Evidence, and Outlook.International dental journal · 2026Review
- Evaluating cone-beam computed tomography vs. intraoral radiography for the detection of endodontal disease in dogs: diagnostic performance and inter-rater agreement.Frontiers in veterinary science · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo identify the factors influencing errors in the interpretation of dental radiographs.
methodsA protocol was registered on Prospero. All studies published until May 2022 were included in this review. The search of the electronic databases spanned Ovid Medline, PubMed, EMBASE, Web of Science and Scopus. The quality of the studies was assessed using the MMAT tool. Due to the heterogeneity of the included studies, a meta-analysis was not conducted.
resultsThe search yielded 858 articles, of which eight papers met the inclusion and exclusion criteria and were included in the systematic review. These studies assessed the factors influencing the accuracy of the interpretation of dental radiographs. Six factors were identified as being significant that affected the occurrence of interpretation errors. These include clinical experience, clinical knowledge, and technical ability, case complexity, time pressure, location and duration of dental education and training and cognitive load.
conclusionsThe occurrence of interpretation errors has not been widely investigated in dentistry. The factors identified in this review are interlinked. Further studies are needed to better understand the extent of the occurrence of interpretive errors and their impact on the practice of dentistry.
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Registered trials
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