ReviewDiscoveries (Craiova, Romania)
A Patient-Centered Perspectives and Future Directions in AI-powered 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 14 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
14 citing papers in PubMed.
- AI-Augmented Teach-Back in Dentistry: From Patient Education to Verified Clinical Understanding.Cureus · 2026Review
- A comparative evaluation of preclinical and clinical dental students' knowledge of teledentistry and artificial intelligence.BMC medical education · 2026Article
- Assessing Patient Discomfort in Smartphone-Based Teledentistry From the Perspective of Dental Professionals: Qualitative Interview Study.Online journal of public health informatics · 2026Article
- AI Triage in Primary Care: Building Safer and More Equitable Real-World Evidence.Journal of medical Internet research · 2026Article
- Present and Future of the Use of Artificial Intelligence in Orthodontics.Bioengineering (Basel, Switzerland) · 2026Review
- AI-Based Prediction of Gene Expression in Single-Cell and Multiscale Genomics and Transcriptomics.International journal of molecular sciences · 2026Review
- Role of artificial intelligence in teledentistry diagnosis and treatment planning.Bioinformation · 2026Article
- AI-assisted multimodal data integration for precision oncology.Frontiers in artificial intelligence · 2026Review
- Dual-database Bibliometric Analysis Combined with Gephi-based Network Visualization of Artificial Intelligence Applications in the Identification and Diagnosis of Thyroid Space-occupying Lesions.Current medical imaging · 2026Article
- Artificial Intelligence-Enabled Orthodontic Care for Remote and Underserved Populations: A Scoping Review of Access, Technology, and Public Health Integration.International journal of dentistry · 2026Review
- The Expanding Role of Artificial Intelligence in Dentistry: A Cross-Specialty Chairside Perspective.Cureus · 2025Review
- AI reshaping life sciences: intelligent transformation, application challenges, and future convergence in neuroscience, biology, and medicine.Frontiers in digital health · 2025Review
- Responsible Innovation in AI-Driven Teledentistry: Ethical, Legal, and Economic Considerations for the Globalization Era.Discoveries (Craiova, Romania)Review
- Perception, Acceptance, and Utilization of Teledentistry by the Public: A Literature Review.Journal of International Society of Preventive & Community DentistryReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This scoping review investigates the integration of AI into teledentistry with a focus on patient-centered perspectives and future directions. Teledentistry has progressed rapidly in the COVID-19 pandemic period, providing remote dental care by means of digital communication technologies.The introduction of AI has made diagnosis more precise, treatment planning more personalized, and processes more efficient and have also made dental services better accessible to the underserved. AI algorithms help in early diagnosis of dental issues, provides customized treatment plans, and improve patient outcomes. Despite the advantages, still many challenges exist. These are ethical concerns, data privacy issues, and regulatory hurdles that prevent widespread adoption. Use of AI in dental settings results in patients having mixed sentiments surrounding trust and data security arising out of fear of having reduced personal interactions with providers. Additionally, AI driven teledentistry is not validated in large scale clinical setting and cost effectiveness assessment which undermines scalability. This review identifies gaps in existing research and provides guidance for how patient-centered applications further facilitate increased transparency, AI education, and cross-disciplinary collaboration among dentists, computer scientists, ethicists, and policymakers. The future research should include clinical validation, economics, and ethical standards to make AI teledentistry use responsible and inclusive. This scoping review equips clinicians and researchers with a roadmap for responsible, patient-centered implementation of AI-enabled teledentistry, offering practical strategies and insights to enhance the quality and accessibility of remote dental care.
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.