ReviewBDJ open2025
Concerns regarding deployment of AI-based applications in dentistry - a review.
Review in BDJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Review
- AI-based applications supporting informal caregivers in childhood caries prevention and management: protocol for a scoping review.BMJ open · 2026Article
- Demystifying Nanotherapeutic Modalities: Unravelling the Mysteries from Antibiofilm Mechanisms to Regenerative and Clinical Translation.Biomedicines · 2026Review
- AI-Driven Dentistry and Public Health Surveillance: Opportunities and Challenges.Public health challenges · 2026Review
- Diagnostic Performance of AI-Based Cloud Software Regarding the Detection of Endodontic Findings on CBCT: A Single-Centre Cross-Sectional Validation Study.Journal of clinical medicine · 2026Article
- Deep learning models for the detection of dental-findings and tooth-types using video data.BMC oral health · 2026Article
- Development and validation of the Dental Artificial Intelligence Readiness and Acceptance Instrument (DAI-RAI) for dental professionals.BMC oral health · 2026Article
- FDA-Approved AI Solutions in Dental Imaging: A Narrative Review of Applications, Evidence, and Outlook.International dental journal · 2026Review
- Development trend of Artificial Intelligence (AI) in dentistry: exploring FDA-cleared dental devices.BMC oral health · 2025Article
- Augmented Reality in Implant and Tooth-Supported Prosthodontics Practice and Education: A Scoping Review.Dentistry journal · 2025Review
- Diagnostic efficiency of digital photography and AI-assisted image interpretation in dental caries examination: An umbrella review.Journal of oral biology and craniofacial researchArticle
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionArtificial Intelligence (AI) is a rapidly evolving technology, with various applications in dentistry including diagnosis, treatment planning, and prognosis. There are various AI-based applications for dental practitioners, however, their real-world evaluation through deployement studies is scarce, as most of the studies are validation studies. This review explores the potential pitfalls of focusing solely on technical performance metrics when evaluating AI-based applications in dentistry while overlooking the importance of clinical applicability.
methodsAn electronic search was performed on PubMed and Scopus while a manual search was conducted on Google Scholar "Dentistry", "Dental", "Artificial Intelligence", "Deep Learning, "Machine Learning", "Applications", "Diagnocat", "CephX", "Denti.AI", "VideaAI", "Smile Designer", "Overjet", "DentalXR.AI", "Smilo.AI", "Smile.AI", "Pearl", "AI deployment challenges in dental practice", "AI for treatment planning in dentistry", "AI in dental imaging", and "AI-based diagnosis in dentistry".
resultsThe electronic search yielded a total of 34 studies, while 10 additional studies were obtained through a manual search, resulting in a total of 44 studies included in this review. Among the 44 studies analyzed, 26 studies were retrospective, while 7 studies utilized a comparative design. The remaining studies comprised of 3 observational, 5 validation, 2 cross-sectional, and 1 prospective study. Further to evaluate the identified applications, relevant companies were contacted via email. Only one company's representative responded, offering a limited trial version which was insufficient for evaluating the application's effectiveness. AI technologies may offer lots of benefits for dental practice by enhancing patient-health-based outcomes, however, real-world applications are necessary to ensure its safety.
conclusionThis work highlights the need for conducting deployment studies for such AI-based dental applications to translate and implement them into dental practice. Collaboration with stakeholders and dental practitioners to assess the use of such applications is of paramount importance.
Identifiers
What Socratic 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 Socratic graph.