We cannot overemphasize the essence of contextual information in most natural language
processing (NLP) applications. The extraction of context yields significant improvements in …

Suicide is a critical issue in modern society. Early detection and prevention of suicide
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …

Background The COVID-19 pandemic is impacting mental health, but it is not clear how
people with different types of mental health problems were differentially impacted as the …

Psychological health, ie, citizens' emotional and mental well-being, is one of the most
neglected public health issues. Depression is the most common mental health issue and the …

Detection at an early stage is vital for the diagnosis of the majority of critical illnesses and is
the same for identifying people suffering from depression. Nowadays, a number of …

The field of digital mental health is making strides in the application of technology to
broaden access to care. We critically examine how these technology-mediated forms of care …

Speech-based diaries from mobile phones can capture paralinguistic patterns that help
detect mental illness symptoms such as suicidal ideation. However, previous studies have …

Background The COVID-19 pandemic has affected people's daily lives and has caused
economic loss worldwide. Anecdotal evidence suggests that the pandemic has increased …

In this narrative review, we survey recent empirical evaluations of AI-based language
assessments and present a case for the technology of large language models to be poised …