AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …

Abstract Textual Emotion Detection (TED) is a rapidly growing area in Natural Language
Processing (NLP) that aims to detect emotions expressed through text. In this paper, we …

The field of healthcare has seen a rapid increase in the applications of data analytics during
the last decades. By utilizing different data analytic solutions, healthcare areas such as …

A proposed system that utilizes machine learning and natural language processing aims to
facilitate communication among individuals who speak different languages. Specifically …

Background The COVID-19 pandemic has brought to the spotlight the critical role played by
a balanced and healthy diet in bolstering the human immune system. There is burgeoning …

People at risk of suicide tend to be isolated and cannot share their thoughts. For this reason,
suicidal ideation monitoring becomes a hard task. Therefore, people at risk of suicide need …

Background Anxiety disorder has become a major clinical and public health problem,
causing a significant economic burden worldwide. Public attitudes toward anxiety can …

This editorial discusses the potential benefits of integrating large language models (LLMs),
such as GPT-4, into electronic health records (EHRs) to optimize patient care, improve …

Background Smartphone-based apps are increasingly used to prevent relapse among those
with substance use disorders (SUDs). These systems collect a wealth of data from …

To address rapidly growing data breach incidents effectively, healthcare providers need to
identify various insider and outsider threats, analyze the vulnerabilities of their internal …