ArticleScientific data2025
DenPAR: Annotated Intra-Oral Periapical Radiographs Dataset for Machine Learning.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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
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Who cites it
4 citing papers in PubMed.
- Emerging Artificial Intelligence Technologies for Evaluation of Dental Composite Restorations: A Scoping Review.European journal of dentistry · 2026Article
- AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns.Scientific reports · 2026Article
- BRAR-anchored multimodal dataset of panoramic radiographs for periodontal bone resorption grading.Scientific data · 2025Article
- DenPAR: Annotated Intra-Oral Periapical Radiographs Dataset for Machine Learning.Scientific data · 2025Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dental diseases are one of the most common diseases that affect humans. Clinicians employ several techniques for diagnosing and monitoring dental diseases, with intra-oral periapical (IOPA) radiographs being among the most commonly utilized methods. The development of artificial intelligence (AI) technologies for analyzing oral radiographs is being explored across various imaging modalities. However, the limited availability of publicly accessible datasets has been a significant challenge. Although datasets of dental radiographs are available, most of these datasets contain panoramic radiographs with teeth segmentation only. This new data set includes IOPA radiographs with annotations of important landmarks along with tooth segmentation. The dataset includes 1000 images with marked landmarks, along with metadata. Researchers can leverage this resource to create AI solutions for analyzing IOPA radiographs.
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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.