Latest AI and machine learning research in risk management for healthcare professionals.
OBJECTIVE: To annotate a corpus of randomized controlled trial (RCT) publications with the checklist...
We develop a deep learning framework (DeepAccNet) that estimates per-residue accuracy and residue-re...
BACKGROUND: The aim of this study was to evaluate the efficacy and feasibility of a peri-operative b...
Emotion recognition is benefitting from the latest research into physiological monitoring and wirele...
Main aim of this study is to assess the effect of a structured, interdisciplinary, surgical, team-tr...
BACKGROUND: Psychosocial health issues such as depression and social isolation are an important caus...
The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...
The number of publications on deep learning for cancer diagnostics is rapidly increasing, and system...
Bioengineered 3D tunable neuronal constructs are a versatile platform for studying neuronal network ...
Information extraction (IE), the distillation of specific information from unstructured data, is a c...
Cognitive computing is revolutionizing the way big data are processed and integrated, with artificia...
BACKGROUND: Pandemics, even more than other medical problems, require swift integration of knowledge...
The reconstructed skin micronucleus (RSMN) assay was developed in 2006, as an in vitro alternative f...
We here propose a new method of combining a mathematical model that describes a chemotherapy treatme...
BACKGROUND AND OBJECTIVE: Assignment of medical imaging procedure protocols requires extensive knowl...
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to...
Metabolic fingerprints are valuable biomarkers for diseases that are associated with metabolic disor...
Visual or manual characterization and classification of atherosclerotic plaque lesions are tedious, ...
This article investigates the problem of robust exponential stability of fuzzy switched memristive i...
Tuberculous meningitis (TBM) is the most lethal and disabling form of tuberculosis. Delayed diagnos...
INTRODUCTION: Acute kidney injury (AKI) is common and is associated with negative long-term outcomes...