Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …

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

Background Diagnosis of rib fractures plays an important role in identifying trauma severity.
However, quickly and precisely identifying the rib fractures in a large number of CT images …

An expert performs bone fracture diagnosis using an X-ray image manually, which is a time-
consuming process. The development of machine learning (ML), as well as deep learning …

The rib fracture is a common type of thoracic skeletal trauma, and its inspections using
computed tomography (CT) scans are critical for clinical evaluation and treatment planning …

Rib fracture detection is time-consuming and demanding work for radiologists. This study
aimed to introduce a novel rib fracture detection system based on deep learning which can …

Objective To compare rib fracture detection and classification by radiologists using CT
images with and without a deep learning model. Materials and methods A total of 8529 chest …

Artificial intelligence (AI) is playing an ever-increasing role in radiology (more so in the adult
world than in pediatrics), to the extent that there are unfounded fears it will completely take …

Objectives: To investigate the impact of deep learning (DL) on radiologists' detection
accuracy and reading efficiency of rib fractures on CT. Methods: Blunt chest trauma patients …

Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior scoping review has been undertaken to …