ArticleBioinformation2026
Role of artificial intelligence in teledentistry diagnosis and treatment planning.
Article in Bioinformation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
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Who cites it
1 citing paper in PubMed.
- Diagnostic Accuracy of Artificial Intelligence for Dental Caries Detection Across Clinical Imaging Modalities: A Systematic Review and Descriptive Synthesis.Diagnostics (Basel, Switzerland) · 2026Review
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Limited access to dental specialists delays accurate diagnosis and treatment planning in remote and underserved populations. Therefore, it is of interest to evaluate the reliability of an artificial intelligence system for remote dental diagnosis and treatment planning using intraoral images, panoramic radiographs and clinical histories from 320 patients. AI-generated outputs were compared with independent assessments by three board-certified dentists using Cohen's kappa, sensitivity and specificity metrics. The system achieved 93.2% agreement for caries detection, 89.1% for periodontal assessment and 90.5% for malocclusion classification, with caries detection sensitivity of 94.8% and specificity of 92.1%. Thus, use of artificial intelligence showed substantial diagnostic concordance and may improve triage efficiency and access to care in teledentistry settings.
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Registered trials
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