Evidence map›Paper›PMID 42154887›Full record

ArticleDental press journal of orthodontics2026

Pediatric validation of an AI-assisted smartphone application (WebCeph) for cephalometric analysis: reliability, reproducibility and time-efficiency assessment.

Rohan Shinde, Dinesh Rao, Sunil Panwar, Manan Phalke

Abstract readValidation Study
In one paragraph

Article in Dental press journal of orthodontics, 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

4 authors.

Rohan ShindePacific Dental College & Hospital, Department of Pediatric Dentistry (Udaipur, Rajasthan State, India).ORCID http://orcid.org/0009-0009-2914-7552
Dinesh RaoPacific Dental College & Hospital, Department of Pediatric Dentistry (Udaipur, Rajasthan State, India).ORCID http://orcid.org/0000-0002-1794-3334
Sunil PanwarPacific Dental College & Hospital, Department of Pediatric Dentistry (Udaipur, Rajasthan State, India).ORCID http://orcid.org/0000-0003-3642-5863
Manan PhalkePacific Dental College & Hospital, Department of Pediatric Dentistry (Udaipur, Rajasthan State, India).ORCID http://orcid.org/0000-0001-9735-3387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough AI-assisted cephalometric applications are widely used, most validation studies involve adult radiographs. Pediatric craniofacial landmarks show greater variability due to growth, which may influence automated landmark accuracy. Therefore, pediatric-specific validation of AI-based smartphone cephalometry is essential.

objectiveThis study evaluated the reliability, reproducibility, and time-efficiency of an AI-assisted smartphone application (WebCeph) compared with manual cephalometric tracing in children.

methodsA retrospective cross-sectional study was conducted on 51 lateral cephalograms of children aged 7-12 years. Manual tracings were performed by a calibrated examiner, and digital tracings were obtained using the WebCeph Android application. Linear and angular measurements were recorded for both methods. Intra-examiner reliability was assessed using intraclass correlation coefficients (ICC). Agreement between methods was evaluated using paired t-tests and Cohen's d. Tracing time was documented, and normality was confirmed using the Shapiro-Wilk test.

resultsBoth methods demonstrated high reliability. Most parameters showed no significant differences, although a few (SNA, ANB, L1-MP) showed statistically significant but clinically negligible discrepancies. ICC values indicated excellent agreement. WebCeph significantly reduced analysis time (9.4 ± 1.82 minutes), compared with manual tracing (19.4 ± 2.65 minutes).

conclusionThe WebCeph AI-assisted smartphone application provides reliable and clinically comparable cephalometric measurements to manual tracing in pediatric patients, with substantial time savings. It may serve as an efficient adjunct to routine pediatric orthodontic diagnostics, with consideration for growth-related landmark variability.

Indexed as

CephalometryMobile ApplicationsSmartphoneAnatomic LandmarksChildCross-Sectional StudiesFemaleHumansMaleObserver VariationReproducibility of ResultsRetrospective StudiesTime Factors

Identifiers

PMID42154887
PMCPMC13185514

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.