Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: Most of existing deep learning research in medical image analysis is focused on networks...
BACKGROUND: Image registration is a crucial technology in robot-assisted knee arthroplasty, which pr...
Differential bone marrow (BM) cell counting is an important test for the diagnosis of various hemato...
Glaucoma is the second leading cause of blindness worldwide, and peripapillary atrophy (PPA) is a mo...
Unanticipated difficult laryngoscopy is associated with serious airway-related complications. We aim...
In this retrospective study, 10,000 anteroposterior (AP) radiography of the knee from a single insti...
BACKGROUND: Current spine models for analog bench models, surgical navigation and training platforms...
Current state-of-the-art visual recognition systems usually rely on the following pipeline: 1) pretr...
OBJECTIVE: There are more and more basketball competitions, to propose a classification method of th...
OBJECTIVES: Diffusion-weighted magnetic resonance imaging (MRI) is increasingly important in patient...
BACKGROUND: X-ray images are commonly used to assess the bone destruction of rheumatoid arthritis. T...
The knee joint plays a key role in kinematic and kinetic performances of pedestrain locomotion. The ...
The rapid development of Internet of things mobile application technology and artificial intelligenc...
OBJECTIVE: To evaluate the diagnostic equivalency between an ultrafast (1Â min 53Â s) lumbar MRI proto...
Laser osteotomy promises precise cutting and minor bone tissue damage. We proposed Optical Coherence...
This paper is devoted to event-triggered non-fragile cost-guaranteed synchronization control for tim...
Few studies have investigated the validity of 2D pose estimation models to evaluate kinematics throu...
PURPOSE: To review a series of adolescent patients with anterior cruciate ligament (ACL) injuries su...
The uniqueness of aesthetic implication in Zhou Dynasty poetics lies in that it is the basic forming...
OBJECTIVES: To compare the image quality and diagnostic performance of conventional motion-corrected...
Background Although deep learning (DL) models have demonstrated expert-level ability for pediatric b...