Latest AI and machine learning research in ethics for healthcare professionals.
BACKGROUND: Brain herniation is one of the fatal outcomes of increased intracranial pressure (ICP). ...
BACKGROUND: This paper proposes a novel method to improve accuracy and efficiency in detecting the q...
Human induced pluripotent stem cells (hiPSCs) are capable of differentiating into a variety of human...
This study investigated the diagnostic accuracy of using an artificial neural network (ANN) for the ...
Portable X-ray fluorescence (pXRF) and Diffuse Reflectance Fourier Transformed Mid-Infrared (DRIFT-M...
The novel coronavirus disease 2019 (COVID-19) pandemic has led to a worldwide crisis in public healt...
Within artificial intelligence and machine learning, a generative model is a powerful tool for learn...
IMPORTANCE: An end-to-end efficacy evaluation approach for identifying progression risk after epider...
Correcting or reducing the effects of voxel intensity non-uniformity (INU) within a given tissue typ...
We apply for the first-time interpretable deep learning methods simultaneously to the most common sk...
Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a cruci...
Increasingly music has been shown to have both physical and mental health benefits including improve...
Industrial Internet of Things (IIoT) ensures reliable and efficient data exchanges among the industr...
This paper spotlights ways in which sexual capacities relate to central human capabilities, such as ...
Small non-coding RNAs (ncRNAs) are short non-coding sequences involved in gene regulation in many bi...
This project aimed to develop and evaluate a fast and fully-automated deep-learning method applying ...
The human-in-the-loop technology requires studies on sensory-motor characteristics of each hand for ...
BACKGROUND: Autism spectrum disorders (ASD) refer to a range of neurodevelopmental conditions, which...
Live sheep export has become a public concern. This study aimed to test a non-contact biometric syst...
Stroke lesion volume is a key radiologic measurement in assessing prognosis of acute ischemic stroke...
To explore the possibility of predicting the clinical types of Corona-Virus-Disease-2019 (COVID-19) ...