Objective: The growing use of large language models (LLMs) stimulates a need for a
comprehensive review of their applications and outcomes in mental health care contexts …

Artificial intelligence (AI) in medicine is transforming healthcare by automating system tasks,
assisting in diagnostics, predicting patient outcomes and personalising patient care …

Abstract Background Somatic Symptom and Related Disorders (SSRD), including chronic
pain, result in frequent primary care visits, depression and anxiety symptoms, and …

Generative artificial intelligence (AI), exemplified by large language models such as
ChatGPT, shows promise in mental health practice, aiding research, training and therapy …

This narrative literature review undertakes a comprehensive examination of the burgeoning
field, tracing the development of artificial intelligence (AI)-powered tools for depression and …

Large language model (LLM)–powered services are gaining popularity in various
applications due to their exceptional performance in many tasks, such as sentiment analysis …

Background: Stressors for health care workers (HCWs) during the COVID-19 pandemic have
been manifold, with high levels of depression and anxiety alongside gaps in care. Identifying …

Digital mental health (DMH) interventions, such as text-message-based lessons and
activities, offer immense potential for accessible mental health support. While these …

Self-compassion, which refers to compassion directed toward oneself, is associated with
mental 6 health and well-being. Traditionally, self-compassion has been measured and …

The field of biomedical research has witnessed a significant increase in the accumulation of
vast amounts of textual data from various sources such as scientific literatures, electronic …