Latest AI and machine learning research in orthopedics for healthcare professionals.
This paper proposes machine learning models for mapping surface electromyography (sEMG) signals to r...
Soft and stretchable sensors are essential to the development of electronic skin, especially their p...
Sarcopenia is associated with adverse clinical outcomes. CT-based skeletal muscle measurements for ...
BACKGROUND: Osteoporosis may result from risk factors such as smoking, alcohol, low body mass index,...
OBJECTIVE: To predict the hand-wrist maturation stages based on the cervical vertebrae (CV) images, ...
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantifi...
Machine learning methods have the potential to transform imaging techniques and analysis for healthc...
The human hand is one of the most complex and compact grippers that has arisen as a product of natur...
Artificial intelligence (AI) and machine learning (ML) are fascinating interdisciplinary scientific ...
This study aimed to develop a method for detection of femoral neck fracture (FNF) including displace...
Many uncertain factors exist in the water resource systems, leading to dynamic characteristics of th...
PURPOSE: We evaluated the performance of deep learning classifiers for bone scans of prostate cancer...
Morphological changes in knee cartilage subregions are valuable imaging-based biomarkers for underst...
OBJECTIVE: The relationship between in vivo knee load predictions and longitudinal cartilage changes...
Human action recognition has attracted considerable research attention in the field of computer visi...
Although artificial intelligence models have demonstrated high accuracy in identifying specific orth...
OBJECTIVE: To evaluate the behavior of a publicly available deep convolutional neural network (DCNN)...
Orthognathic surgical outcomes rely heavily on the quality of surgical planning. Automatic estimatio...
PURPOSE: Our purposes were (1) to explore the methodologic quality of the studies on the deep learni...
OBJECTIVES: The aims of the present study were to construct a deep learning model for automatic segm...
BACKGROUND: In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate estimation o...