Evidence map›Paper›PMID 42582658›Full record

ArticleInternational journal of dentistry2026

Artificial Intelligence-Assisted Cephalometric Analysis: A Comparative Study Between WebCeph and NemoCeph.

Ana Catarina Oliveira, Sofia Sousa-Santos, Joana Mendes, Selma Pascoal, Aline Gonçalves, José Manuel Mendes, Primavera Sousa-Santos

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Ana Catarina OliveiraUNIPRO - Oral Pathology and Rehabilitation Research Unit, University Institute of Health Sciences (IUCS), CESPU, Gandra 4585-116, Portugal, cespu.pt.ORCID https://orcid.org/0000-0003-1042-2373
Sofia Sousa-SantosUNIPRO - Oral Pathology and Rehabilitation Research Unit, University Institute of Health Sciences (IUCS), CESPU, Gandra 4585-116, Portugal, cespu.pt.ORCID https://orcid.org/0000-0001-5497-4474
Joana MendesUNIPRO - Oral Pathology and Rehabilitation Research Unit, University Institute of Health Sciences (IUCS), CESPU, Gandra 4585-116, Portugal, cespu.pt.ORCID https://orcid.org/0000-0002-0035-1770
Selma PascoalUNIPRO - Oral Pathology and Rehabilitation Research Unit, University Institute of Health Sciences (IUCS), CESPU, Gandra 4585-116, Portugal, cespu.pt.ORCID https://orcid.org/0000-0002-9665-7183
Aline GonçalvesUNIPRO - Oral Pathology and Rehabilitation Research Unit, University Institute of Health Sciences (IUCS), CESPU, Gandra 4585-116, Portugal, cespu.pt.ORCID https://orcid.org/0000-0002-4513-5385
José Manuel MendesUNIPRO - Oral Pathology and Rehabilitation Research Unit, University Institute of Health Sciences (IUCS), CESPU, Gandra 4585-116, Portugal, cespu.pt.ORCID https://orcid.org/0000-0001-6920-5838
Primavera Sousa-SantosUNIPRO - Oral Pathology and Rehabilitation Research Unit, University Institute of Health Sciences (IUCS), CESPU, Gandra 4585-116, Portugal, cespu.pt.ORCID https://orcid.org/0000-0002-0257-592X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incorporation of artificial intelligence (AI) into orthodontics has facilitated automated cephalometric assessments, offering greater efficiency and minimizing human-related inaccuracies. Nevertheless, the precision of AI-driven systems, when compared with conventional digital analysis software, requires thorough validation. To evaluate the accuracy and consistency of AI-assisted cephalometric analysis using WebCeph in relation to manual tracings performed using NemoCeph, which is regarded as the reference standard. Cephalometric radiographs were obtained from 50 adult patients. Linear and angular parameters were measured using NemoCeph and WebCeph, and statistical comparisons were performed. Data normality was verified using the Shapiro-Wilk test, while paired

Indexed as

angular measurementsartificial intelligencecephalometrylinear measurementsorthodonticsWebCeph

Identifiers

PMID42582658
PMCPMC13458275

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.