Evidence map›Paper›PMID 40860795›Full record

ReviewFrontiers in oral health2025

Innovations on the horizon: teledentistry, artificial intelligence, and hybrid models to improve oral health for vulnerable communities.

Sergiu Drafta, Andrei Macris, Alexandru E Petre

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Sergiu DraftaProsthetic Department, Faculty of Stomatology, "Carol Davila" University of Medicine and Pharmacy from Bucharest, Bucharest, Romania.
Andrei MacrisProsthetic Department, Faculty of Stomatology, "Carol Davila" University of Medicine and Pharmacy from Bucharest, Bucharest, Romania.
Alexandru E PetreProsthetic Department, Faculty of Stomatology, "Carol Davila" University of Medicine and Pharmacy from Bucharest, Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Vulnerable populations experience substantial challenges accessing dental care, leading to disproportionate oral health burdens. Digital solutions, such as teledentistry and artificial intelligence, offer new opportunities to improve access, quality and effectiveness of the care. Methods: This paper presents a narrative literature review incorporating findings from peer-reviewed journals, systematic reviews, and case studies retrieved from PubMed, Scopus, and Web of Science (2013-2024). Evidence was also synthesized using the artificial intelligence tool Elicit to include high-quality data on teledentistry, artificial intelligence and hybrid dental care models, focusing on their implementation and effectiveness. Studies were selected to address relevance for underserved populations and digital innovation in dental care delivery. Results: Teledentistry modalities, including e-consults and virtual dental homes, have demonstarte enhanced access and delivery of preventative care. Artificial intelligence tool provide accurate diagnoses, predict treatment needs, and streamline workflows. Hybrid models combining virtual screening with in-person treatment bridge care gaps and enhance continuity and efficiency, particularly for underserved populations. Conclusions: The integration of teledentistry, artificial intelligence and hybrid dental practice models offers a transformative approach to improving oral health care acces and equity. However, success will require investment, support and collaboration to scale these innovations effectively.

Indexed as

artificial intelligencedental caredental diagnosticoral healthteledentistry

Identifiers

PMID40860795
PMCPMC12375626

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.