Latest AI and machine learning research in orthopedics for healthcare professionals.
OBJECTIVES: To develop an automated deep-learning algorithm for detection and 3D segmentation of inc...
OBJECTIVES: Lingual mandibular bone depression (LMBD) is a developmental bony defect in the lingual ...
Natural language processing (NLP) technology has played a pivotal role in health monitoring as an im...
STUDY DESIGN: Meta-analysis and systematic review.
BACKGROUND: Software-infused services, from robot-assisted and wearable technologies to artificial i...
BACKGROUND: Machine learning algorithms are finding increasing use in prediction of surgical outcome...
PURPOSE: Robot-assisted ultrasound (rUS) systems have already been used to provide non-radiative thr...
The novel robot-assisted (RA) technique has been utilized increasingly to improve the accuracy of ce...
PURPOSE: The use of robotic continuum manipulators has been proposed to facilitate less-invasive ort...
OBJECTIVE: To test the diagnostic performance of a deep-learning Two-Stream Compare and Contrast Net...
: aspiration of total hip arthroplasty (THA) is commonly performed to assist in the diagnosis of pro...
In an effort to boost the development of new management strategies for OA, there is currently a shif...
Osteoporosis and vertebral fractures (VFs) remain underdiagnosed. The addition of deep learning meth...
Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our ability...
Radiographic examination is essential for diagnosing spinal disorders, and the measurement of spino-...
The condition of a joint in a human being is prone to wear and several pathologies, particularly in ...
IMPORTANCE: Joint attention, composed of complex behaviors, is an early-emerging social function tha...
The aim of this study was to assess the accuracy of pedicle screw placement, as well as intraoperati...
Current methods for assessing knee osteoarthritis (OA) do not provide comprehensive information to m...