Latest AI and machine learning research in risk management for healthcare professionals.
There exist several methods aimed at human-robot physical interaction (HRpI) to provide physical the...
INTRODUCTION: Whole-body MRI (WB-MRI) is recommended by the National Institute of Clinical Excellenc...
BACKGROUND: Measurement of care quality and safety mainly relies on abstracted administrative data. ...
The machine learning approaches are applied in the dynamical simulation of open quantum systems. The...
OBJECTIVE: To evaluate the diagnostic equivalency between an ultrafast (1Â min 53Â s) lumbar MRI proto...
We describe a protocol to perform fast and non-arbitrary quality control of single-cell RNA sequenci...
INTRODUCTION: Dementia has become one of the significant causes of disability and dependency among o...
BACKGROUND: Each year, millions of Americans receive evidence-based psychotherapies (EBPs) like cogn...
MRI is a non-invasive medical imaging modality that is sensitive to patient motion, which constitute...
This article studies the vision-based tracking control problem for a nonholonomic multirobot formati...
INTRODUCTION: Emerging evidence suggests that robotic devices for upper limb rehabilitation after a ...
INTRODUCTION: Even though the injection of diluted vasopressin into the uterus is expected to reduce...
With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical ...
INTRODUCTION: The terms 'precision medicine' and 'personalised medicine' have become key terms in he...
INTRODUCTION: Robotic surgery has expanded on it's surgical application and it is also noted an incr...
The fight against the COVID-19 pandemic, which has affected the whole world in recent years and has ...
In this article, the upgrading process of the structure-based virtual screening (SBVS) protocol targ...
With the rise of self-driving technology research, the establishment of a scientific and perfect leg...
Automated protocoling for MRI examinations is an amendable target for workflow automation with artif...
By the method of documentation and logical analysis, based on the data, based on logic and based on ...
In this paper, a deep learning algorithm was proposed to ensure the voice call quality of the cellul...