Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: Accurate hip joint center (HJC) determination is critical for preoperative planning, int...
PURPOSE: Computed tomography (CT) is a technique of choice to image bone structure at different scal...
Accurate kinematic modelling is pivotal in the safe and reliable execution of both contact and non-c...
Designers of legged robots are challenged with creating mechanisms that allow energy-efficient locom...
PURPOSE: Preoperative three-dimensional planning is important for total hip arthroplasty. To simulat...
Morphological abnormalities of the femoroacetabular (hip) joint are among the most common human musc...
Analyzing spinal curvatures manually is time-consuming and tedious for clinicians, and intra-observe...
BACKGROUND: There have been few studies reporting on the surgical approaches of minimally invasive s...
In this article, we propose a novel deep correlated joint network (DCJN) approach for 2-D image-base...
Human resource management involves a variety of data processing, and the process is complicated. In ...
EMG-based motion estimation is required for applications such as myoelectric control, where the simu...
Vision-based detection and tracking of surgical instrument are attractive because it relies purely o...
PURPOSE: We developed a tool for locating and grading knee osteoarthritis (OA) from digital X-ray im...
PURPOSE: Subchondral insufficiency fractures (SIF) and advanced osteoarthritis (OA) of the knee are ...
BACKGROUND: MR-based methods for attenuation correction (AC) in PET/MRI either neglect attenuation o...
This paper addresses the mixture symptom mention problem which appears in the structuring of Traditi...
BACKGROUND: Developmental dysplasia of the hip (DDH) is a common orthopedic disease in children. In ...
BACKGROUND: The surgical management of complications after total hip arthroplasty (THA) necessitates...
Twisted and coiled actuators (TCAs), which are light but capable of producing significant power, wer...
Incomplete time series classification (ITSC) is an important issue in time series analysis since tem...
We developed a Convolutional LSTM (ConvLSTM) network to predict shoulder joint reaction forces using...