Latest AI and machine learning research in orthopedics for healthcare professionals.
The radial forearm flap (RFF) is widely used for microvascular reconstruction in the head and neck r...
Prostate cancer (PCa) requires improved diagnostic strategies beyond conventional imaging. This revi...
OBJECTIVES: The purpose of this study was to compare the reliability and accuracy of responses provi...
BACKGROUND CONTEXT: Degenerative scoliosis (DS) is a common spinal disorder among adults, characteri...
Osteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic fac...
BACKGROUND: Advancements in diagnostic and therapeutic modalities for giant cell tumors of bone (GCT...
Joint health is critical for musculoskeletal (MSK) conditions that are affecting approximately one-t...
RATIONALE AND OBJECTIVES: To explore the feasibility of deep learning (DL)-enhanced, fully automated...
PURPOSE: The study aims to develop an automatic method to align ultrasound images of the distal fore...
Industrial exoskeletons (a.k.a. wearable robots) have been developed to reduce musculoskeletal fatig...
BACKGROUND: Artificial intelligence (AI) is increasingly being explored for its potential role in me...
BACKGROUND AND OBJECTIVE: The full waveform inversion (FWI) method plays a significant role in bone ...
BACKGROUND AND PURPOSE: The most common adverse event following spine stereotactic body radiotherapy...
This study developed and evaluated a deep learning (DL)-based system for automatically measuring tal...
It is well established that the early inflammatory response following fracture is essential for init...
Glaucoma is a progressive eye condition caused by high intraocular fluid pressure, damaging the opti...
AIM: We aimed to compare the diagnostic performance of physicians in the detection of arthroscopical...
Accurate segmentation of cerebral arteries on computed tomography angiography (CTA) images is essent...
BackgroundKnee osteoarthritis is a debilitating disease with a complex pathogenesis. Synovitis, whic...
The study hypothesised that a markerless motion capture system can provide kinematic data comparable...
Multimodal emotion recognition focuses on the prediction of emotions using text, visual and acoustic...