Evidence map›Paper›PMID 36013526›Full record

ArticleMedicina (Kaunas, Lithuania)2022

A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery.

Tim Eschert, Falk Schwendicke, Joachim Krois, Lauren Bohner, Shankeeth Vinayahalingam, Marcel Hanisch

Registry-linked trialAbstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06908603 (Use of Artificial Intelligence in Oral Radiology), which is not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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.

NCT06908603 completednot on this mapstarted 2024, after this paper: background citation

Use of Artificial Intelligence in Oral Radiology: A Multicenter Cross-Sectional Study in Egypt

TypeobservationalSponsorCairo UniversityRan2024 to 2025Enrolled1,326ConditionsKnowledge of AI Applications in Dental ImagingArmsSurvey using a questionnaire.
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. Attitudes and Perceptions of Australian Dentists and Dental Students Towards Applications of Artificial Intelligence in Dentistry: A Survey.European journal of dental education : official journal of the Association for Dental Education in Europe · 2025
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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.

Tim EschertDepartment of Oral and Maxillofacial Surgery, Hospital University Muenster, 48149 Muenster, Germany.
Falk SchwendickeDepartment of Oral Diagnostics and Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, 14197 Berlin, Germany.ORCID 0000-0003-1223-1669
Joachim KroisDepartment of Oral Diagnostics and Digital Health and Health Services Research, Charité-Universitätsmedizin Berlin, 14197 Berlin, Germany.ORCID 0000-0002-6010-8940
Lauren BohnerDepartment of Oral and Maxillofacial Surgery, Hospital University Muenster, 48149 Muenster, Germany.ORCID 0000-0003-3637-3928
Shankeeth VinayahalingamDepartment of Oral and Maxillofacial Surgery, Hospital University Muenster, 48149 Muenster, Germany.ORCID 0000-0002-2679-3841
Marcel HanischDepartment of Oral and Maxillofacial Surgery, Hospital University Muenster, 48149 Muenster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceSurgery, OralHumansSurveys and Questionnairesartificial intelligenceclinicians surveymachine learningperceptionqualitative research

Identifiers

PMID36013526
PMCPMC9412897

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.