Evidence map›Paper›PMID 41487149›Full record

ArticleInternational journal of dentistry2026

A Prospective Longitudinal Observational Study on the Emotional Impact of AI-Simulated Smiles on Orthodontic Patient Motivation.

Thomas Mourgues, María José González-Olmo, Luis Huanca Ghislanzoni, Andrei Otel, Martín Romero-Maroto, Khaled Al Hamad

Abstract read
In one paragraph

Article in International journal of dentistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Thomas MourguesDepartment of Orthodontics, Rey Juan Carlos University, 28922, Alcorcón, Madrid, Spain, urjc.es.ORCID https://orcid.org/0009-0006-2021-3240
María José González-OlmoDepartment of Orthodontics, Rey Juan Carlos University, 28922, Alcorcón, Madrid, Spain, urjc.es.ORCID https://orcid.org/0000-0002-3221-6848
Luis Huanca GhislanzoniDivision of Orthodontics, Clinics of Dental Medicine, University of Geneva, 1205, Geneva, Switzerland, unige.ch.ORCID https://orcid.org/0000-0002-8445-8208
Andrei OtelIndependent Researcher, Paris, France.ORCID https://orcid.org/0009-0000-5336-0139
Martín Romero-MarotoDepartment of Orthodontics, Rey Juan Carlos University, 28922, Alcorcón, Madrid, Spain, urjc.es.ORCID https://orcid.org/0000-0003-0419-9160
Khaled Al HamadDepartment of Orthodontics, Rey Juan Carlos University, 28922, Alcorcón, Madrid, Spain, urjc.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To evaluate the impact of the SmileView (SV) simulation on smile esthetic perception and its influence on motivation to undertake orthodontic treatment. Methods: A longitudinal study was conducted with 51 subjects in Madrid, Spain. Participants had an initial smile photo taken (T0) and a simulated image generated by SV (T1). They rated, on a 1-10 scale, the general perception of their smile and specific variables (width, alignment, color, gingival exposure, and shape) at both T0 and T1. Intention to pursue orthodontic treatment was recorded. Data were analyzed with SPSS 28.0. Results: Smile perception improved significantly postsimulation (T0: 5.84 ± 2.12; T1: 7.00 ± 2.61; Conclusion: SV improves smile perception but has limited influence on treatment motivation without clinical guidance.

Indexed as

artificial intelligence in dentistrydigital smile designesthetic perceptionorthodontic motivationpatient decision-makingsmile simulationSmileView

Identifiers

PMID41487149
PMCPMC12759262

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.