Evidence map›Paper›PMID 42624978›Full record

ArticleOdontology2026

Comparative perception of smiles designed by AI vs. dentist using standard esthetic rules: a visual preference study among laypeople and dental professionals.

Saeed M Alqahtani, Saurabh Chaturvedi, Lama Alhassan Ali Alnami, Miad Ali Alasmary, Hadeel Ali Alashram, Nabeeh A AlQahtani, Mohammad A Zarbah, Mudita Chaturvedi

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

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0citing papers in PubMed
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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

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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

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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

8 authors.

Saeed M AlqahtaniDepartment of Prosthetic Dentistry, College of Dentistry, King Khalid University, Abha, 62529, Saudi Arabia.
Saurabh ChaturvediDepartment of Prosthetic Dentistry, College of Dentistry, King Khalid University, Abha, 62529, Saudi Arabia.
Lama Alhassan Ali AlnamiDepartment of Prosthetic Dentistry, College of Dentistry, King Khalid University, Abha, 62529, Saudi Arabia.
Miad Ali AlasmaryDepartment of Prosthetic Dentistry, College of Dentistry, King Khalid University, Abha, 62529, Saudi Arabia.
Hadeel Ali AlashramDepartment of Prosthetic Dentistry, College of Dentistry, King Khalid University, Abha, 62529, Saudi Arabia.
Nabeeh A AlQahtaniDepartment of Periodontics and Community Dental Sciences, College of Dentistry, King Khalid University, Abha, 62529, Saudi Arabia.
Mohammad A ZarbahDepartment of Prosthetic Dentistry, College of Dentistry, King Khalid University, Abha, 62529, Saudi Arabia.
Mudita ChaturvediDepartment of Periodontics and Community Dental Sciences, College of Dentistry, King Khalid University, Abha, 62529, Saudi Arabia. drmudita@hotmail.com.ORCID http://orcid.org/0000-0003-4192-2514

Funding

Deanship of Scientific Research, King Khalid University RGP2/185/47
6 · The paper itself

Abstract

Artificial intelligence (AI) has rapidly emerged as a transformative tool in digital smile design, offering automated and data-driven esthetic solutions. However, the comparative perception of AI-generated smiles and those designed by dental professionals remains unclear. To compare the esthetic perception, preference, and acceptance of smiles designed by artificial intelligence and dental professionals using standard esthetic principles among laypeople and dental professionals. A prospective, cross-sectional visual preference study was conducted involving 180 participants, including dental professionals and laypersons. Two patients (one male and one female) were selected, and for each, two smile designs were created: one using AI and the other by a dentist following standard esthetic guidelines. Participants evaluated both designs using a 5-point Likert scale based on extraoral and intraoral parameters. Preference and identification of designs were assessed using comparative questions. Statistical analysis included Wilcoxon signed-rank test, Mann-Whitney U test, exact binomial test, and chi-square test, with p< 0.05 considered significant. Dentist-designed smiles received significantly higher esthetic scores than AI-generated designs (Patient 1: 3.89± 1.03 vs 2.93 ± 1.04; Patient 2: 3.95 ± 1.15 vs 3.04 ± 1.05; p < 0.001). A majority of participants preferred dentist-designed smiles as more natural (76.1% and 78.3%) and more attractive (80.6% and 81.1%) (p < 0.001). Participants were able to correctly identify AI-generated designs in 66.1% and 69.4% of cases. Most participants (87.1%) favored a collaborative approach combining AI with dentist expertise. Under the conditions of this study, dentist-designed smiles received higher ratings and were perceived as more esthetic than AI-generated designs. A combined approach integrating AI with professional judgment is recommended for optimal esthetic outcomes.

Indexed as

Artificial intelligenceDigital smile designEsthetic dentistrySmile perceptionVisual preference

Identifiers

PMID42624978

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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.