Latest AI and machine learning research in risk management for healthcare professionals.
A novel dual-site recognition protocol was developed for chemiluminescent (CL) detection of Streptoc...
STUDY DESIGN: Retrospective review of high-dose tranexamic acid (TXA) use in consecutive patients.
BACKGROUND: The aim of the present study was to compare the amount of the smear layer remaining in p...
UK Biobank is a large-scale prospective epidemiological study with all data accessible to researcher...
Mental stress has been identified as one of the major contributing factors that leads to various dis...
Current knowledge about the function of the reproductive tract and appropriate use of hormonal drugs...
Dynamic contrast-enhanced MRI (DCE-MRI) is an imaging protocol where MRI scans are acquired repetiti...
Motor function may be enhanced if aerobic exercise is paired with motor training. One potential mech...
BACKGROUND: Loss of arm function is a common and distressing consequence of stroke. We describe the ...
EEG is a standard non-invasive technique used in neural disease diagnostics and neurosciences. Frequ...
INTRODUCTION: Interventions using robot-assisted therapy may be beneficial for the social skills dev...
Physical activity levels are related through algorithms to the energetic demand, with no information...
Sperm cryopreservation is an essential tool for long-term storage of genetic resources for aquacultu...
We evaluated the image quality and diagnostic performance of late iodine enhancement computed tomogr...
Saccharomyces cerevisiae (budding yeast) is a powerful eukaryotic model organism ideally suited to h...
Advances in machine intelligence have created powerful capabilities in algorithms that find hidden p...
BACKGROUND: Gait and mobility impairments affect the quality of life (QoL) of patients with progress...
Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in dia...
BACKGROUND: Recent advances in robotic technology suggest that the utilization of the da Vinci Singl...
Protein-protein docking protocols aim to predict the structures of protein-protein complexes based o...
Machine learning algorithms were explored for the fast estimation of HOMO and LUMO orbital energies ...