Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Robot-assisted gait training (RAGT) provides a task-based support of walking using exoskeletons. Evi...
This paper presents a novel teleoperation system using Electroencephalogram (EEG) to control the mot...
Background and objective: Duration of rehabilitation and active participation are crucial for gait r...
While robotic procedures are growing rapidly, medical students have a limited role in robotic surger...
This paper devotes a new method in modeling and optimizing to handle the optimization of the XY posi...
Due to the huge number of connected Internet of Things (IoT) devices within a network, denial of ser...
Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease i...
In the present study, a neuro-evolutionary scheme is presented for solving a class of singular singu...
Mathematical models of human cardiovascular and respiratory systems provide a viable alternative to ...
Leading a sedentary lifestyle may cause numerous health problems. Therefore, passive lifestyle chang...
Cancer centers have an urgent and unmet clinical and research need for AI that can guide patient man...
Exercise-induced pulmonary hemorrhage (EIPH) is a relevant respiratory disease in sport horses, whic...
In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to...
Unusual walk patterns may increase individuals' risks of falling. Anthropometric features of the hum...
Artificial intelligence (AI) has recently been introduced as a new way of analyzing and predicting s...
Robotic surgical training is undergoing a period of transition now that new robotic operating platfo...
To identify the influencing factors and develop a predictive model for the risk of abnormal liver fu...
Dissemination of robotic surgical technology for robot-assisted laparoscopic prostatectomy (RALP) ha...
In recent years, there were many suggestions regarding modifications of the well-known U-Net archite...
End-effector type upper limb rehabilitation robots (ULRRs) are connected to patients at one distal p...
Federated learning (FL) is a computational paradigm that enables organizations to collaborate on mac...