ReviewAustralian dental journal2025
Digital Dental Radiology and Diagnostics-From 2D to 3D.
Review in Australian dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
4 citing papers in PubMed.
- Article
- Evaluating Artificial Intelligence in Full-Arch CBCT Caries Detection: A Comparative Analysis with Clinical Assessment.Journal of clinical medicine · 2026Article
- Three-Dimensional Volumetric Evaluation of the Sella Turcica and Sphenoid Sinus in Individuals with Unilateral Palatally Impacted Maxillary Canines Using CBCT.Diagnostics (Basel, Switzerland) · 2026Article
- Automated evaluation of dental cavity preparation quality using deep learning and anatomically informed geometric analysis.Frontiers in artificial intelligence · 2026Article
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
Digital dental radiology has evolved significantly from traditional two-dimensional (2D) imaging to advanced three-dimensional (3D) modalities such as cone-beam computed tomography (CBCT). This progression has overcome many limitations of 2D imaging, including superimposition and distortion, enabling more accurate visualisation of complex anatomical structures. Despite CBCT's higher radiation dose compared to 2D imaging, ongoing advances in low-dose protocols and artefact reduction algorithms have expanded its clinical applications. Integration with digital tools such as intraoral scanners and CAD/CAM systems has further enhanced its utility in guided implant surgery, orthodontic appliance design, and forensic dentistry. Emerging artificial intelligence technologies promise to improve image analysis, diagnostic accuracy, and workflow efficiency. Emphasising radiation safety and careful imaging selection remains essential. Additionally, magnetic resonance imaging and ultrasound are gaining attention as non-ionising imaging alternatives, offering valuable soft tissue assessment complementary to CBCT's strengths in hard tissue evaluation. Together, these innovations reflect the crucial change in dental diagnostics from 2D to 3D imaging, advancing patient care through improved accuracy and comprehensive treatment planning.
Indexed as
Identifiers
What OpenQuestion holds
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.