Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

Objective To evaluate the usage of a well-known and widely adopted checklist, Checklist for
Artificial Intelligence in Medical imaging (CLAIM), for self-reporting through a systematic …

Objectives To explore an intelligent detection technology based on deep learning algorithms
to assist the clinical diagnosis of distal radius fractures (DRFs), and further compare it with …

Background Pediatric fractures are challenging to identify given the different response of the
pediatric skeleton to injury compared to adults, and most artificial intelligence (AI) fracture …

Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a
sequence of images to recognize content, has been used extensively across industries in …

Purpose To evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm,
previously trained using both adult and pediatric patients, for the detection of acute …

Distal radius fractures rank among the most prevalent fractures in humans, necessitating
accurate radiological imaging and interpretation for optimal diagnosis and treatment. In …

Purpose Fracture detection is one of the most commonly used and studied aspects of
artificial intelligence (AI) in medicine. In this systematic review and meta-analysis, we aimed …

Background: Early and accurate diagnosis is critical to preserve function and reduce
healthcare costs in patients with hand and wrist injury. As such, artificial intelligence (AI) …

Pneumonia caused by novel coronavirus is an acute respiratory infectious disease. Its rapid
spread in a short period of time has brought great challenges for global public health. The …