Artificial intelligence in detecting dentomaxillofacial fractures in diagnostic imaging: a scoping review protocol

Author:

Diba Silviana FarrahORCID,Sari Dwi Cahyani RatnaORCID,Supriatna YanaORCID,Ardiyanto IgiORCID,Bintoro Bagas SuryoORCID

Abstract

IntroductionThe dentomaxillofacial (DMF) area, which includes the teeth, maxilla, mandible, zygomaticum, orbits and midface, plays a crucial role in the maintenance of the physiological functions despite its susceptibility to fractures, which are mostly caused by mechanical trauma. As a diagnostic tool, radiographic imaging helps clinicians establish a diagnosis and determine a treatment plan; however, the presence of human factors in image interpretation can result in missed detection of fractures. Therefore, an artificial intelligence (AI) computing system with the potential to help detect abnormalities on radiographic images is currently being developed. This scoping review summarises the literature and assesses the current status of AI in DMF fracture detection in diagnostic imaging.Methods and analysisThis proposed scoping review will be conducted using the framework of Arksey and O’Malley, with each step incorporating the recommendations of Levacet al. By using relevant keywords based on the research questions. PubMed, Science Direct, Scopus, Cochrane Library, Springerlink, Institute of Electrical and Electronics Engineers, and ProQuest will be the databases used in this study. The included studies are published in English between 1 January 2000 and 30 June 2023. Two independent reviewers will screen titles and abstracts, followed by full-text screening and data extraction, which will comprise three components: research study characteristics, comparator and AI characteristics.Ethics and disseminationThis study does not require ethical approval because it analyses primary research articles. The research findings will be distributed through international conferences and peer-reviewed publications.

Publisher

BMJ

Subject

General Medicine

Reference39 articles.

1. Prevalence of maxillofacial fracture: a retrospective study;Kamala;Int J Forensic Odontol,2019

2. Global, regional, and national burden of bone fractures in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

3. Assessment of maxillofacial trauma in emergency department;Arslan;World J Emerg Surg,2014

4. Analysis of facial bone fractures: an 11-year study of 2,094 patients;Hwang;Indian J Plast Surg,2010

5. Maxillofacial fracture epidemiology and treatment plans in the northeast of Iran: a retrospective study;Samieirad;Med Oral Patol Oral Cir Bucal,2017

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