ReviewDiscoveries (Craiova, Romania)
Artificial Intelligence in Teledentistry.
Review in Discoveries (Craiova, Romania). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- A Systematic Umbrella Review of the Effects of Teledentistry on Costs and Oral-Health Outcomes.International journal of environmental research and public health · 2024Pooled it
- Teledentistry: Applications Across Dental Specialties: A Systematic Review and Meta-Analysis.Journal of dentistry (Shiraz, Iran) · 2026Review
- A comparative evaluation of preclinical and clinical dental students' knowledge of teledentistry and artificial intelligence.BMC medical education · 2026Article
- Teledentistry-A Futuristic Approach Towards Dental Health Care Delivery: A Cross-Sectional Study.TheScientificWorldJournal · 2026Article
- Role of artificial intelligence in teledentistry diagnosis and treatment planning.Bioinformation · 2026Article
- Review
- From remote screening to precision prevention: responsible multimodal AI for risk prediction and equitable oral healthcare.Frontiers in oral health · 2026Review
- The impact of artificial intelligence on periodontal disease detection and treatment.Frontiers in dental medicine · 2026Review
- Review
- The Expanding Role of Artificial Intelligence in Dentistry: A Cross-Specialty Chairside Perspective.Cureus · 2025Review
- Tooth-to-white spot lesion YOLO: a novel model for white spot lesion detection.BMC oral health · 2025Article
- Automated periodontal assessment in orthodontic patients: a dual CNN framework.Clinical oral investigations · 2025Article
- Telemedicine and Digital Tools in Dentistry: Enhancing Diagnosis and Remote Patient Care.Medicina (Kaunas, Lithuania) · 2025Review
- Digital and artificial intelligence-assisted cephalometric training effectively enhanced students' landmarking accuracy in preclinical orthodontic education.BMC oral health · 2025Article
- A Comprehensive Guide to Implement Artificial Intelligence Cloud Solutions in a Dental Clinic: A Review.Cureus · 2025Review
- Teledentistry for Pediatric Dental Emergency: Comparison Between Experienced and Novice Users.Bioengineering (Basel, Switzerland) · 2024Article
- Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions.Current oncology (Toronto, Ont.) · 2024Review
- Role of Artificial Intelligence (AI) in Patient Education and Communication in Dentistry.Cureus · 2024Review
- Tele-dentistry, its trends, scope, and future framework in oral medicine; a scoping review during January 1999 to December 2021.Archives of public health = Archives belges de sante publique · 2023Article
- Artificial intelligence in oral health surveillance among under-served communities.Bioinformation · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) has grown tremendously in the past decade. The application of AI in teledentistry can reform the way dental care, dental education, research, and subsequent innovations can happen remotely. Machine learning including deep learning-based algorithms can be developed to create predictive models of risk assessment for oral health related conditions, consequent complications, and patient stratification. Patients can be empowered to self-diagnose and apply preventive measures or self-manage some early stages of dental diseases. Applications of AI in teledentistry can be beneficial for both, the dental surgeon and the patient. AI enables better remote screening, diagnosis, record keeping, triaging, and monitoring of dental patients based on smart devices. This will take away rudimentary cases requiring run-of-the-mill treatments from dentists and enable them to concentrate on highly complex cases. This would also enable the dentists to serve a larger and deprived population in inaccessible areas. Its usage in teledentistry can bring a paradigm shift from curative to preventive personalised approach in dentistry. A strong asset to teledentistry could be a robust and comprehensive feedback mechanism routed through various channels proposed in this paper. This paper discusses the application of AI in teledentistry and proposes a feedback mechanism to enhance performance in teledentistry.
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.