AB212. SOH22ABS193. Establishing a trauma database at the national maxillofacial unit

Henry, Cian; Bowe, Conor; O’Connell, John-Edward; Ekanayake, Kumara; Kearns, Gerry

doi:10.21037/map-22-ab212

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the need for getting access to documented image databases of facial trauma in public depositories is imperative to advance and keep pace of the research into imaging diagnostics of facial trauma with other areas of medical research. Here, it is pointed out that The National Maxillofacial Surgery Unit of Ireland has recently announced its effort in providing a prospective maxillofacial trauma database to facilitate several important aspects such as strategic planning, resource allocations, clinical compliance, auditing, and research (Henry et al, 2022).…”

Section: Data Availabilitymentioning

confidence: 99%

A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging

Pham,

Holmes,

Coulthard

2024

Front. Artif. Intell.

View full text Add to dashboard Cite

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.

show abstract

Section: Data Availabilitymentioning

confidence: 99%