Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: International protocols for age estimation in subadults recommend combining different evidence according to tooth and bone maturity by radiographic examination to improve the final assessment. Scant literature could be found that observe, compare, and combine dentition and wrist bones maturation in the same sample of minors. AIM: This research aims at developing and validating an Artif...
Transcranial ultrasound imaging plays an important role in the diagnosis of brain diseases and the monitoring of brain function. However, the quality of transcranial imaging is often impaired by the intricate acoustic properties of the skull. Accurate reconstruction of the skull's speed of sound (SoS) is critical for effective phase correction and enhanced image quality. In this study, we propose ...
BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fusion surgeries have become more prevalent. There ha...
RATIONALE & OBJECTIVE: Low muscle mass is a risk factor for chronic kidney disease. In this study, we examined the relationship between muscle mass an...
MR imaging of the triangular fibrocartilage complex (TFCC) is technically demanding and highly dependent on the use of optimal tools, including the sc...
CONTEXT: Experimental evidence supporting the existence of the viscerosomatic reflex highlights an involvement of multiple vertebral levels when renal...
BACKGROUND CONTEXT: Radiomics, a technique employing machine learning (ML) to extract quantitative features from processed radiographic images, holds ...
PURPOSE: To evaluate the image quality of pediatric portable chest radiographs processed using a deep learning-based noise reduction (NR) algorithm im...
OBJECTIVES: To present a publicly available deep learning-based torso segmentation model that provides comprehensive voxel-wise coverage, including de...
INTRODUCTION: The digital age offers vast health information, boosting patient health literacy but also fostering challenges like misinformation. Larg...
BACKGROUND: The automated segmentation of maxillary and mandibular bones in cone-beam computed tomography (CBCT) using artificial intelligence (AI) is...
OBJECTIVE: This study investigates the use of neural networks to predict potential osteoporotic metabolic conditions using the Panoramic Mandibular In...
Leukemia remains a prevalent hematologic malignancy, and its morphological heterogeneity presents challenges for reliable identification under optical...
PURPOSE: To identify baseline clinical signs and symptoms associated with response to intense pulsed light (IPL) combined with meibomian gland express...
PURPOSE: Achilles tendon injuries are common during running in low-temperature environments, but the underlying biomechanical mechanisms remain unclea...
Osteoporosis is a disease characterized by decreased bone density and increased fracture risk. This study proposes a convolutional neural network (CNN...
Incomplete multi-view clustering (IMVC) has become an area of increasing focus due to the frequent occurrence of missing views in real-world multi-vie...
OBJECTIVES: Femoroacetabular impingement (FAI) with cam-type morphology is a common hip disorder that can result in groin pain and eventually osteoart...
PURPOSE: The clinical significance of medullary abnormalities in the appendicular skeleton detected by computed tomography (CT) in patients with multi...
The black-box nature of Generative Adversarial Networks (GANs) hinders the controllable generation of images, particularly in semantic editing that in...