Latest AI and machine learning research in orthopedics for healthcare professionals.
Bone marrow cell morphology has always been an important tool for the diagnosis of blood diseases. S...
OBJECTIVES: To develop and validate an end-to-end region-based deep convolutional neural network (R-...
The most common cause of long-term disability and death in young adults is a traumatic brain injury....
Spondylolisthesis refers to the slippage of one vertebral body over the adjacent one. It is a chroni...
BACKGROUND: Patellofemoral osteoarthritis (PFOA) has a high prevalence and is assessed on axial radi...
Osteoporosis is becoming a global health issue due to increased life expectancy. However, it is diff...
OBJECTIVES: To develop and validate machine learning models to distinguish between benign and malign...
Bone pelvic dimensions and body habitus may have effects on robot-assisted radical prostatectomy (RA...
OBJECTIVES: To develop and evaluate a deep learning-based algorithm (DLA) for automatic detection of...
Hip fracture is the most common complication of osteoporosis, and its major contributor is compromis...
A soft gripper inspired by the glowing sucker octopus (Stauroteuthis syrtensis)' highly evolved gras...
The aim of this study was to develop automated models for the identification and detection of mandib...
PURPOSE: Clinical rib fracture diagnosis via computed tomography (CT) screening has attracted much a...
OBJECTIVE: To compare the safety and accuracy of cortical bone trajectory screw placement between th...
Foot progression angle (FPA) analysis is one of the core methods to detect gait pathologies as basic...
BACKGROUND: X-ray is a necessary tool for post-total hip arthroplasty (THA) check-ups; however, para...
PURPOSE: Segmenting bone surfaces in ultrasound (US) is a fundamental step in US-based computer-assi...
INTRODUCTION: Pelvic fracture is a severe high-energy injury with the highest disability and mortali...
In the classical image processing pipeline, demosaicing and denoising are separated steps that may i...
PURPOSE: Artificial intelligence based on deep learning (DL) approaches enables the automatic recogn...
OBJECTIVE: To study the longitudinal performance of fully automated cartilage segmentation in knees ...