Use of artificial intelligence for classification of fractures around the elbow in adults according to the 2018 AO/OTA classification system.

ABSTRACT:

Background

This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.

Methods

A retrospective analysis of 5,367 radiograph exams visualizing the elbow from adult patients (2002-2016) was conducted using a deep neural network. Radiographs were manually categorized according to the 2018 AO/OTA system by orthopedic surgeons. A pretrained Efficientnet B4 network with squeeze and excitation layers was fine-tuned. Performance was assessed against a test set of 208 radiographs reviewed independently by four orthopedic surgeons, with disagreements resolved via consensus.

Results

The study evaluated 54 distinct fract

SUBMITTER: Pettersson A 

PROVIDER: S-EPMC12418695 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature