Evaluation of Artificial Intelligence-based diagnosis for facial fractures, advantages compared with conventional imaging diagnosis: a systematic review and meta-analysis

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Systematic review evaluates AI-assisted diagnosis of facial fractures, revealing high sensitivity and specificity.

AI shows promising potential for the diagnosis of facial fractures using convolutional neural networks.
The pooled sensitivity and specificity for diagnosing facial fractures were 0.889 and 0.888, respectively.
This systematic review analyzed 16 studies, following PRISMA guidelines for systematic reviews and meta-analyses.
High area under the SROC curve of 0.911 indicates robust diagnostic performance of AI in facial fracture detection.

Ju et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark