We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
The potential harm of bias in generative AI tools is largely due to widespread adoption by organizations and free or low-cost ...
This project predicts whether a passenger survived the Titanic disaster using supervised machine learning techniques. The problem is treated as a binary classification task where the target variable ...
Abstract: Automatic emotion recognition in speech is a current research area with a wide range of applications in human-machine interactions. This paper uses two classification methods, the hidden ...
Agentic AI is so prevalent that some business leaders now count AI agents as part of their regular workforce. Yet, without ...
It is a common misperception that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs ...
SINGAPORE – A registry of artificial intelligence agents is being developed for 150,000 public officers in Singapore to use cutting-edge AI in their work without compromising data security. This ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...
Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...
Abstract: Deep neural networks (DNN) are increasingly being used in neuroimaging research for the diagnosis of brain disorders and understanding of human brain. Despite their impressive performance, ...
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