ReviewCureus2025
The Expanding Role of Artificial Intelligence in Dentistry: A Cross-Specialty Chairside Perspective.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07639749 (Diagnostic Accuracy of Artificial Intelligence Analysis Using Intraoral Photographs Versus Clinical Examination in White Spot Lesions Detection, Identification, And Scoring.), which is not on this map. Cited by 5 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.
Diagnostic Accuracy of Artificial Intelligence Analysis Using Intraoral Photographs Versus Clinical Examination in White Spot Lesions Detection, Identification, And Scoring.
Who cites it
5 citing papers in PubMed.
- Associations Between Systemic Diseases and Dental Pulp Diagnoses: A Retrospective Chart Study Using a Locally Deployed Large Language Model.Dentistry journal · 2026Article
- Article
- Artificial Intelligence in Implant Dentistry: Clinical Validity, Diagnostic Performance, Surgical Planning, and Medico-Legal Implications-A Narrative Review.Dentistry journal · 2026Review
- Role of artificial intelligence in teledentistry diagnosis and treatment planning.Bioinformation · 2026Article
- From hospital dentistry to health systems: advancing special care dentistry through education, integration, and technology.Frontiers in oral health · 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
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) has emerged as a transformative tool in healthcare, with dentistry increasingly integrating AI technologies to enhance diagnostics, treatment planning, patient monitoring, and clinical outcomes. The dental field, with its strong reliance on imaging, precision, and personalized care, offers fertile ground for AI-driven innovation. This narrative review aims to provide a comprehensive overview of current and emerging applications of AI across all major dental specialties. It explores the integration of AI technologies within clinical, educational, and administrative contexts. A literature search was conducted for English-language articles. The review synthesizes findings related to AI applications across dental specialties. AI has the potential to reshape dental care by enhancing precision, efficiency, and accessibility. Continued research, interdisciplinary collaboration, and ethical implementation are essential to ensure that AI serves as a supportive, equitable, and reliable force in modern dentistry.
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.