Latest AI and machine learning research in orthopedics for healthcare professionals.
PURPOSE: To improve the performance of less experienced clinicians in the diagnosis of benign and ma...
PURPOSE: The majority of lumbar spine surgery referrals do not proceed to surgery. Early identificat...
We sought to develop natural language processing (NLP) methods for automated detection and character...
Analyzing and interpreting traumatic injuries is a fundamental aspect of routine forensic case work....
Assessment is critical during the procedure of stroke rehabilitation. However, traditional assessmen...
BACKGROUND: As big data and artificial intelligence (AI) in spine care, and medicine as a whole, con...
BACKGROUND: The diagnosis of labral injury on MRI is time-consuming and potential for incorrect diag...
Peripheral arterial disease (PAD) is caused by atherosclerosis and is a common disease of the elderl...
Artificial intelligence (AI) is increasingly being used in bone-age (BA) assessment due to its compl...
Multimodal sentiment analysis (MSA) aims to infer emotions from linguistic, auditory, and visual seq...
The skeleton is one of the most important organs in the human body in assisting our motion and activ...
OBJECTIVE: Current surgical robots face challenges to understand preoperative images like human surg...
BACKGROUND: There has been a considerable increase in total joint arthroplasty (TJA) research using ...
PURPOSE: The purpose of this work was to develop and validate a deep convolutional neural network (C...
In the forensic estimation of bone age, the pelvis is important for identifying the bone age of teen...
Diagnosis of myelodysplastic syndrome (MDS) mainly relies on a manual assessment of the peripheral b...
OBJECTIVE: To evaluate if an automatic classification of rheumatoid arthritis (RA) metacarpophalange...
Inspired by the dynamic process of initial bone development, in which a soft tissue turns into a sol...
Retinal related diseases are the leading cause of vision loss, and severe retinal lesion causes irre...
BACKGROUND: Recently, there has been considerable innovation in artificial intelligence (AI) for hea...
In this paper, we propose a novel deep learning method for joint classification and segmentation of ...