Latest AI and machine learning research in product alert for healthcare professionals.
Lane detection plays a vital role in making the idea of the autonomous car a reality. Traditional la...
BACKGROUND: The US Food and Drug Administration (FDA) collects and retains several data sets on post...
The human olfactory bulb (OB) has a laminar structure. The segregation of cell populations in the OB...
OBJECTIVE: To investigate the effect of robot-assisted therapy (RAT) on upper limb motor control and...
Feasibility of automated volume-derived cardiac functional evaluation has successfully been demonstr...
We demonstrate the capabilities of two model-agnostic local post-hoc model interpretability methods,...
AMPylation is an emerging post-translational modification that occurs on the hydroxyl group of threo...
Soft robotic glove with brain computer interfaces (BCI) control has been used for post-stroke hand f...
Predicting the incidence of complex chronic conditions such as heart failure is challenging. Deep le...
Stroke is the second leading cause of death globally after ischemic heart disease, also a risk facto...
Background To improve myocardial delayed enhancement (MDE) CT, a deep learning (DL)-based post hoc d...
Athletes have had to deal with significant shifts in the way they think about psychology and emotion...
The rapid spread of COVID-19 has prompted a surge in the adoption of technology, highlighting a numb...
Memristive systems and devices are potentially available for implementing reservoir computing (RC) s...
This study evaluates the accuracy and efficiency of automatic tooth segmentation in digital dental m...
BACKGROUND: Stroke related motor function deficits affect patients' likelihood of returning to profe...
An electronic skin (e-skin) for the next generation of robots is expected to have biological skin-li...
The demand for cost-efficient manufacturing of complex metal components has driven research for meta...
OBJECTIVE: Endovascular aortic repair (EVAR) surveillance relies on serial measurements of the maxim...
Continuous monitoring of high-risk patients and early prediction of severe outcomes is crucial to pr...
INTRODUCTION: Signal validation in pharmacovigilance is the process of evaluating data to decide whe...