Latest AI and machine learning research in orthopedics for healthcare professionals.
Robotic devices have been proposed to meet the rising need for high intensity, long duration, and go...
Synaptic plasticity, the cellular basis for learning and memory, is mediated by a complex biochemica...
The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical ...
The level set based deformable models (LDM) are commonly used for medical image segmentation. Howeve...
The interfacial region in composites that incorporate filler materials of dramatically different mod...
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femor...
Analyzing geological drilling hole images acquired by Axial View Panoramic Borehole Televiewer (APBT...
Selecting the right drugs for the right patients is a primary goal of precision medicine. In this ar...
Intelligent recognition of electroencephalogram (EEG) signals is an important means to detect seizur...
Newly synthesized polypeptides must pass stringent quality controls in cells to ensure appropriate f...
This study develops an objective machine-learning classification model for classifying glaucomatous ...
Evoking strength is one of the important contributions of the field of Biomedical Informatics to the...
Over the last few decades, medical-assisted robots have been considered by many researchers, within ...
GOAL: Automatic segmentation of brainstem gliomas and prediction of genotype (H3 K27M) mutation stat...
Wear particle-induced biological responses are the major factors for the failure of total joint arth...
PURPOSE: To develop and test the performance of a deep learning-based algorithm for glaucomatous dis...
OBJECTIVE: In teleoperated robot-assisted tasks, the user interacts with manipulators to finely cont...
This paper explored the hidden biomedical information from knee magnetic resonance (MR) images for o...
Automated quantitative estimation of spinal curvature is an important task for the ongoing evaluatio...
PURPOSE: To describe and evaluate a new segmentation method using deep convolutional neural network ...
Osteoporotic vertebral fractures (OVFs) are prevalent in older adults and are associated with substa...