The integration of large language models (LLMs) into mental healthcare and research
heralds a potentially transformative shift, one offering enhanced access to care, efficient data …

Inequality in treatment access is a pressing issue in most healthcare systems across many
medical disciplines. In mental healthcare, reduced treatment access for minorities is …

Virtual Mental Health Assistants (VMHAs) continuously evolve to support the overloaded
global healthcare system, which receives approximately 60 million primary care visits and 6 …

The surging global demand for mental healthcare (MH) services has amplified the interest in
utilizing AI-assisted technologies in critical MH components, including assessment and …

Background: Most mental health care providers face the challenge of increased demand for
psychotherapy in the absence of increased funding or staffing. To overcome this supply …

Background Recent advancements in artificial intelligence (AI) have changed the care
processes in mental health, particularly in decision-making support for health care …

A series of preprints1-5 over the past year indicate that artificial intelligence (AI) systems can
complete tasks central to psychiatric care, thus hinting at a future in which AI systems …

Cognitive behavioural therapy (CBT) is a highly effective treatment for depression and
anxiety disorders. Nonetheless, a substantial proportion of patients do not respond to …

Accessing mental health care can be challenging, and minority groups often face additional
barriers. This study investigates whether digital tools can enhance equality of access to …

AI and mental healthcare: ethical and regulatory considerations Page 1 POSTnote 738 By
Hannah Gardiner, Natasha Mutebi 31 January 2025 AI and mental healthcare: ethical and …