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

Journal: BMJ open
Published Date: Aug 8, 2023

Abstract

INTRODUCTION: The 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.

Authors

  • Silviana Farrah Diba
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Universitas Gadjah Mada, Yogyakarta, Indonesia.
  • Dwi Cahyani Ratna Sari
    Department of Anatomy, Gadjah Mada University Faculty of Medicine Public Health and Nursing, Yogyakarta, Indonesia dwi.cahyani@ugm.ac.id.
  • Yana Supriatna
    Department of Radiology, Gadjah Mada University Faculty of Medicine Public Health and Nursing, Yogyakarta, Indonesia.
  • Igi Ardiyanto
    Department of Electrical Engineering and Information Technology, Gadjah Mada University Faculty of Engineering, Yogyakarta, Indonesia.
  • Bagas Suryo Bintoro
    Department of Health Behaviour, Environment, and Social Medicine, Gadjah Mada University Faculty of Medicine Public Health and Nursing, Yogyakarta, Indonesia.

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