Evidence map›Paper›PMID 41670638›Full record

ArticleJournal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie2026

Oral radiologists and orthodontists' attitude regarding the use of artificial intelligence for cephalometric analysis.

Gleica Dal' Ongaro Savegnago, Mariana Boessio Vizzotto, Eduardo Luiz Delamare, Gabriela Salatino Liedke

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Article in Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Gleica Dal' Ongaro SavegnagoUniversidade Federal de Santa Maria, Santa Maria, Brazil.
Mariana Boessio VizzottoFederal University of Rio Grande do Sul, Porto Alegre, Brazil.
Eduardo Luiz DelamareThe University of Sydney, Sydney, Australia.
Gabriela Salatino LiedkeUniversidade Federal de Santa Maria, Santa Maria, Brazil. gabriela.liedke@ufsm.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the knowledge and attitude of specialists in orthodontics and oral radiology in relation to artificial intelligence (AI) and its use in cephalometric analysis.

methodsA cross-sectional study was conducted with electronic questionnaires distributed to Brazilian orthodontists and oral radiologists. Demographic and professional data were collected, as well data on general use of AI and cephalometric-related use of AI. Data analysis was performed using descriptive statistics and χ

resultsA total of 139 questionnaires were answered. Reported knowledge regarding AI showed a significant association with the questions 1) presence of AI in daily life (P = 0.021), 2) having AI as a topic in lectures during their education (P = 0.010), and 3) willingness to incorporate AI into dentistry (P = 0.002). Oral radiologists were more willing to incorporate AI into clinical practice (P = 0.004), while orthodontists agreed more with the idea of including the AI diagnosis together with the one delivered by the clinician (P = 0.014). Most participants welcomed the use of fully automated software to identify landmarks in cephalometric analysis (78.4%) and believed that human error is greater than AI's during landmark identification (52.5%).

conclusionBrazilian orthodontists and oral radiologists acknowledge the use of AI and express positive attitudes and confidence toward its application in cephalometric analysis. Professionals who reported greater knowledge of AI demonstrated more openness to incorporating this technology into their clinical routine.

Indexed as

Cephalometric landmark identificationComputer-assisted decision-makingDentistryKnowledgeTreatment planning

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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.