Citation

Pham TD, Holmes SB, Coulthard P. Front. Artif. Intell. 2023; 6: e1278529.

Copyright

(Copyright © 2023, Frontiers Media)

DOI

10.3389/frai.2023.1278529

PMID

38249794

PMCID

PMC10797131

Abstract

Patients with facial trauma may suffer from injuries such as broken bones, bleeding, swelling, bruising, lacerations, burns, and deformity in the face. Common causes of facial-bone fractures are the results of road accidents, violence, and sports injuries. Surgery is needed if the trauma patient would be deprived of normal functioning or subject to facial deformity based on findings from radiology. Although the image reading by radiologists is useful for evaluating suspected facial fractures, there are certain challenges in human-based diagnostics. Artificial intelligence (AI) is making a quantum leap in radiology, producing significant improvements of reports and workflows. Here, an updated literature review is presented on the impact of AI in facial trauma with a special reference to fracture detection in radiology. The purpose is to gain insights into the current development and demand for future research in facial trauma. This review also discusses limitations to be overcome and current important issues for investigation in order to make AI applications to the trauma more effective and realistic in practical settings. The publications selected for review were based on their clinical significance, journal metrics, and journal indexing.

Language: en

Keywords

artificial intelligence; diagnosis; facial trauma; facial-bone fractures; radiology