Progress in the application of artificial intelligence in the diagnosis and treatment of maxillofacial fractures
Year: 2025
Type: article
Abstract: Maxillofacial fractures are common and frequently occurring diseases in Oral and Maxillofacial Surgery. The traditional clinical diagnosis and treatment process is easily affected by complex maxillofacial anatomy and differences in doctors’ experience in reading X-rays and making diagnoses. In recent years, artificial intelligence technology has provided new solutions for the accurate diagnosis and treatment planning of maxillofacial fractures. Automating image analysis through computer vision methods improves diagnostic accuracy and efficiency and assists in formulating treatment plans, showing broad application prospects and value. This article reviews and summarizes the research on the application of artificial intelligence in the auxiliary diagnosis and treatment of maxillofacial fractures at home and abroad, analyzes its advantages and disadvantages, and looks forward to future research trends.
Author: HUANG Shuhui, ZHU Zhu, WANG Yunyi, XU Yuyue, LI Jing, YU Gang, ZHANG Feng
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6941532779
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