Background Patients with fractures are a common emergency presentation and may be
misdiagnosed at radiologic imaging. An increasing number of studies apply artificial …

Importance. With the booming growth of artificial intelligence (AI), especially the recent
advancements of deep learning, utilizing advanced deep learning-based methods for …

Background Proximal femoral fractures are an important clinical and public health issue
associated with substantial morbidity and early mortality. Artificial intelligence might offer …

Importance Artificial intelligence (AI) enables powerful models for establishment of clinical
diagnostic and prognostic tools for hip fractures; however the performance and potential …

Background An artificial intelligence model that assesses primary bone tumors on
radiographs may assist in the diagnostic workflow. Purpose To develop a multitask deep …

The purpose of this study was to evaluate the performance of convolutional neural network-
based models for the detection and classification of maxillofacial fractures in computed …

Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in
trauma patients, which is also the key component for trauma survey. None of the currently …

Emergency Radiology is a unique branch of imaging, as rapidity in the diagnosis and
management of different pathologies is essential to saving patients' lives. Artificial …

Background: Artificial intelligence (AI) holds potential in improving medical education and
healthcare delivery. ChatGPT is a state-of-the-art natural language processing AI model …

Identifying the design of a failed implant is a key step in the preoperative planning of revision
total joint arthroplasty. Manual identification of the implant design from radiographic images …