Evidence map›Paper›PMID 42235409›Full record

ArticleInternational dental journal2026

Artificial Intelligence-Mediated Teledentistry for Ageing Populations: Toward Intelligent Intermediary Support in Home-Based Oral Care.

Seyed Ali Mosaddad

Abstract read
In one paragraph

Article in International dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Seyed Ali MosaddadDepartment of Conservative Dentistry and Prosthodontics, Faculty of Dentistry, Complutense University of Madrid, Madrid, Spain; Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; Department of Prosthodontics, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: Mosaddad.sa@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid ageing of the global population is reshaping oral health care delivery, with increasing numbers of older adults receiving care in home-based or dependent settings where access to dental services remains limited. Although teledentistry has emerged as a potential solution, its current implementation is constrained by passive communication models, variable diagnostic reliability, and limited usability among elderly patients. Evidence suggests that the effectiveness of remote dental assessment depends less on the communication modality than on image quality, patient guidance, and clinician-patient interaction. In parallel, artificial intelligence (AI) has demonstrated expanding roles in elderly health care as a supervisor, communicator, and decision support system, yet its integration into dentistry remains largely limited to diagnostics. This Perspective proposes a shift in which AI functions as an intelligent intermediary, structuring communication, guiding data acquisition, and supporting clinical triage. Despite challenges in adoption and ethics, AI-mediated teledentistry may enable a transition toward patient-centred oral health care.

Indexed as

Artificial IntelligenceDental Care for AgedHome Care ServicesTelemedicineAgedHumansIntelligent SystemsAgedArtificial intelligenceGeriatric dentistryHome care servicesOral healthTelemedicine

Identifiers

PMID42235409
PMCPMC13254864

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.