Artificial intelligence diagnostic model for multi-site fracture X-ray images of extremities based on deep convolutional neural networks.

ABSTRACT:

Background

The rapid and accurate diagnosis of fractures is crucial for timely treatment of trauma patients. Deep learning, one of the most widely used forms of artificial intelligence (AI), is now commonly employed in medical imaging for fracture detection. This study aimed to construct a deep learning model using big data to recognize multiple-fracture X-ray images of extremity bones.

Methods

Radiographic imaging data of extremities were retrospectively collected from five hospitals between January 2017 and September 2020. The total number of people finally included was 25,635 and the total number of images included was 26,098. After labeling the lesions, the randomized method used 90% of the data as the training set to develop the fracture detection model, and the remaini

SUBMITTER: Xie Y 

PROVIDER: S-EPMC10895109 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature