Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: The activation of follicle stimulating hormone receptor (FSHR) by FSH and the consequent...
BACKGROUND: Rheumatoid arthritis (RA) and osteoarthritis (OA) were two major types of joint diseases...
Kinematic analysis is often performed with a camera system combined with reflective markers placed o...
Today's audiometric methods for the diagnosis of middle ear disease are often based on a comparison ...
OBJECTIVE: To assess the ability of radiography-based bone texture variables in proximal femur and a...
Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for diagnosing pr...
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduct...
In the detection of myeloproliferative, the number of cells in each type of bone marrow cells (BMC) ...
Tissue segmentation and classification in MRI is a challenging task due to a lack of signal intensit...
BACKGROUND: Complex clinical gait analysis results can be expressed as single number gait deviations...
Scoliosis is a common spinal condition where the spine curves to the side and thus deforms the spine...
Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic disc (OD) ...
This study aimed to develop a machine learning-based algorithm for glaucoma diagnosis in patients wi...
PURPOSE: Cancers are almost always diagnosed by morphologic features in tissue sections. In this con...
Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the e...
BACKGROUND AND OBJECTIVES: The calcaneus is the most fracture-prone tarsal bone and injuries to the ...
Precise segmentation and anatomical identification of the vertebrae provides the basis for automatic...
BACKGROUND: Osteoarthritis (OA) is a degenerative joint disease, characterized by cartilage degradat...
This paper presents a fully developed computer aided diagnosis (CAD) system for early knee OsteoArth...
PURPOSE: To train a deep learning (DL) algorithm that quantifies glaucomatous neuroretinal damage on...
Association between net vertebral artery flow volume (NVAFV) and stroke types remains unclear. We h...