Latest AI and machine learning research in orthopedics for healthcare professionals.
Robotic systems for complex tasks, such as search and rescue or exploration, are limited for wheeled designs, thus the study of legged locomotion for robotic applications has become increasingly important. To successfully navigate in regions with rough terrain, a robot must not only be able to negotiate obstacles, but also climb steep inclines. Following the principles of biomimetics, we developed...
In recent years, fracture image diagnosis using a convolutional neural network (CNN) has been reported. The purpose of the present study was to evaluate the ability of CNN to diagnose distal radius fractures (DRFs) using frontal and lateral wrist radiographs. We included 503 cases of DRF diagnosed by plain radiographs and 289 cases without fracture. We implemented the CNN model using Keras and Ten...
The aim was to further explore the clinical value of deep learning algorithm in the field of spinal medical image segmentation, and this study designe...
Background Deep learning-based segmentation could facilitate rapid and reproducible T1 lesion load assessments, which is crucial for disease managemen...
A number of previously undescribed (1-7) and structurally related known (8-17) isobenzofuran-type polyketides were obtained from the fermentation of ...
Osteoporosis is a common, but silent disease until it is complicated by fractures that are associated with morbidity and mortality. Over the past few ...
OBJECTIVES: To assess the efficiency, safety, and accuracy of S (IS) screw fixation using a robot-assisted method compared with a freehand method.
Data tables for machine learning and structure-activity relationship modelling (QSAR) are often naturally organized in blocks of data, where multiple ...
RATIONALE AND OBJECTIVES: The use of natural language processing (NLP) in radiology provides an opportunity to assist clinicians with phenotyping pati...
The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteric fracture of femur by X-ray film classification a...
BACKGROUND: The combination of navigational system and robotics has the potential to accurately identify and drill bone tunnels in anterior cruciate l...
OBJECTIVES: This study aimed to develop models that can automatically detect anterior disc displacement (ADD) of the temporomandibular joint (TMJ) on ...
Musical choreography is usually completed by professional choreographers, which is very professional and time-consuming. In order to realize the intel...
Global aging is becoming more and more serious, and the nursing problems of the elderly will become very serious in the future. The article designs a ...
With the continuous development of information technology, robotics and data science will certainly have a similar impact on invasive medicine over th...
BACKGROUND: Although the automatic diagnosis of fractures using artificial intelligence (AI) has recently been reported to be more accurate than those...
Abnormal spasticity and associated synergistic patterns are the most common neuromuscular impairments affecting ankle-knee-hip interlimb coordinated g...
The remaining useful life estimation is a key technology in prognostics and health management (PHM) systems for a new generation of aircraft engines. ...
There is a growing interest in the application of artificial intelligence (AI) to orthopaedic surgery. This review aims to identify and characterise r...
OBJECTIVES: The present study aimed to evaluate the status and trends of robotic orthopedic surgery in a clinical setting using bibliometrics.