Latest AI and machine learning research in orthopedics for healthcare professionals.
The diabetic retinopathy accounts in the deterioration of retinal blood vessels leading to a serious...
BACKGROUND: The use of technology such as navigation and robotic systems may improve the accuracy of...
Computer-assisted surgery represents a relatively novel treatment option in total hip arthroplasty, ...
Proprioceptive training is a neurorehabilitation approach known to improve proprioceptive acuity and...
BACKGROUND: Osteoporosis has increased and developed into a serious public health concern worldwide....
BACKGROUND AND OBJECTIVES: Computer-aided diagnosis relies on machine learning algorithms that requi...
Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis. T...
This study examines a biology-inspired approach of using reconfigurable articulation to reduce the c...
Background and purpose - A correct diagnosis is essential for the appropriate treatment of patients ...
Achieving biologically interpretable neural-biomarkers and features from neuroimaging datasets is a ...
. Artificial intelligence (AI) is an era upcoming in medicine and, more recently, in the operating r...
BACKGROUND: Accurate preoperative planning is an important step for accurate reconstruction in total...
Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countrie...
OBJECTIVE: To introduce local binary pattern (LBP) texture analysis to cartilage osteoarthritis (OA)...
Temporal bone CT-scan is a prerequisite in most surgical procedures concerning the ear such as cochl...
PURPOSE: Total Knee Arthroplasty (TKA) procedures incorporate technology in an attempt to improve ou...
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the human body cau...
SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and preventing va...
We report on a series of workshops with musicians and robotics engineers aimed to study how human an...
Recurrent neural network (RNN), as a kind of neural network with outstanding computing capability, i...
In this work, we developed and validated a computer method capable of robustly detecting drill break...