Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: There is no large contemporary data from India to see the prevalence of burnout in HCWs ...
This paper introduces a new generative deep learning network for human motion synthesis and control....
PURPOSE: Post-reconstruction filtering is often applied for noise suppression due to limited data co...
AIM: To determine if robotic assisted gait training (RAGT) using surface muscle electrical stimulati...
BACKGROUND: Powered wheelchairs promote participation for people with mobility limitations. For olde...
Detecting human parts at instance-level is an essential prerequisite for the analysis of human keypo...
Detailed analysis of secondary envelopment of the herpesvirus human cytomegalovirus (HCMV) by transm...
Falling is a significant health problem. Fall detection, to alert for medical attention, has been ga...
With the development of artificial intelligence technologies, robotic training partner is becoming a...
BACKGROUND: According to the US Bureau of Labor Statistics, nurses will be the largest labor pool in...
Offshore oil and gas platforms have a finite life of production operations. Once production ceases, ...
OBJECTIVE: To assess effects of 15 exoskeleton-assisted gait training sessions, reflected by the mus...
OBJECTIVE: To describe the experiences of clinicians who have used robotic exoskeletons in their pra...
BACKGROUND: Identifying which individuals will develop tuberculosis (TB) remains an unresolved probl...
Generative adversarial networks have achieved remarkable performance on various tasks but suffer fro...
In this study, which aims at early diagnosis of Covid-19 disease using X-ray images, the deep-learni...
INTRODUCTION: The learning curve associated with robotic pancreatoduodenectomy (RPD) is a hurdle for...
Many applications, especially in physics and other sciences, call for easily interpretable and robus...
The increasing number of COVID-19 patients has increased health care professionals' workloads, makin...
The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates a...
Shortage of fully annotated datasets has been a limiting factor in developing deep learning based im...