Latest AI and machine learning research in orthopedics for healthcare professionals.
Background The methods for assessing knee osteoarthritis (OA) do not provide enough comprehensive in...
Current research suggests that the wrist extensor muscles function as the primary stabilizers of the...
OBJECTIVE: The infrapatellar fat pad (IPFP) has been associated with knee osteoarthritis onset and p...
PURPOSE: Guidance and quality control in orthopedic surgery increasingly rely on intra-operative flu...
BACKGROUND AND OBJECTIVE: To take major advantage of erbium-doped yttrium aluminium garnet (Er:YAG) ...
Given that mobile soft robots are adaptable to the environment, they are always tethered with slow l...
HYPOTHESIS/PURPOSE: The objective is to develop and validate an artificial intelligence model, speci...
The topic of sparse representation of samples in high dimensional spaces has attracted growing inter...
Anterior cruciate ligament (ACL) injuries are common among athletes. Despite a successful return to ...
BACKGROUND: Patient follow-up is an essential part of hospital ward management. With the development...
PURPOSE: To determine whether a machine learning approach optimizes survival estimation for patients...
PURPOSE: The cup-to-disc ratio (CDR), a clinical metric of the relative size of the optic cup to the...
PET attenuation correction (AC) on systems lacking CT/transmission scanning, such as dedicated brain...
This study reports the development of an artificial neural network computation model to predict the ...
Conventional inclusion criteria used in osteoarthritis clinical trials are not very effective in sel...
OBJECTIVE: Hip fractures are among the most frequently occurring fragility fractures in older adults...
The intent of this article is to evaluate a novel approach, using rapid cycle analytics and real wo...
The size of a device and its adaptability to human properties are important factors in developing a ...
BACKGROUND: The interest in Minimally Invasive Surgery (MIS) techniques has greatly increased in the...
: To describe the development and validation of an artificial intelligence-based, deep learning algo...
OBJECTIVE: To develop and evaluate the performance of deep convolutional neural networks (DCNN) to d...