Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
INTRODUCTION: Emerging developments in applications of artificial intelligence (AI) in healthcare of...
BACKGROUND: Reporting and analysis of adverse events (AE) is associated with improved health system ...
Recognizing the evolution pattern of traffic condition and making accurate prediction play a vital r...
Acupoints (APs) prove to have positive effects on disease diagnosis and treatment, while intelligent...
Prostate-specific membrane antigen targeting positron emission tomography (PSMA-PET) is routinely us...
Proteins play a vital role in various biological processes and achieve their functions through prote...
The number of papers presenting machine learning (ML) models that are being submitted to and publish...
As the awareness on violent deaths from guns, drugs, and suicides emerges as a public health crisis ...
INTRODUCTION: Current drug-drug interaction (DDI) detection methods often miss the aspect of tempora...
Measurement-based verification is impossible for the patient-specific quality assurance (QA) of onli...
BACKGROUND AND OBJECTIVE: Accurate magnetic resonance imaging (MRI) reporting is essential for trans...
Traditional optical flame detectors (OFDs) in flame detection are susceptible to environmental inter...
Deep learning methodologies employed for biomass prediction often neglect the intricate relationship...
Computer models of the human ventricular cardiomyocyte action potential (AP) have reached a level of...
As Artificial Intelligence (AI) systems increase in capability, so there are growing concerns over t...
Thyroid nodules are a common occurrence, and although most are non-cancerous, some can be malignant....
PURPOSE: Diffusion magnetic resonance imaging (dMRI) is a widely used non-invasive method for invest...
OBJECTIVE: Acknowledging study limitations in a scientific publication is a crucial element in scien...
The application of deep learning (DL) in medicine introduces transformative tools with the potential...
Generally, due to a lack of explainability, radiomics based on deep learning has been perceived as a...
PURPOSE: The objective of this study was to perform a retrospective cohort analysis, in which we mea...