Artificial intelligence-based technologies are gradually being applied to psych-iatric
research and practice. This paper reviews the primary literature concerning artificial …

Informatics paradigms for brain and mental health research have seen significant advances
in recent years. These developments can largely be attributed to the emergence of new …

For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …

This conceptual paper describes the current state of mental health services, identifies critical
problems, and suggests how to solve them. I focus on the potential contributions of artificial …

Selecting a course of treatment in psychiatry remains a trial-and-error process, and this long-
standing clinical challenge has prompted an increased focus on predictive models of …

This paper discusses the promising areas of research into machine learning applications for
the prevention and correction of neurodegenerative and depressive disorders. These two …

Depression is one of the significant contributors to the global burden disease, affecting
nearly 264 million people worldwide along with the increasing rate of suicidal deaths …

Objective. Analysis of functional and structural brain networks has suggested that major
depressive disorder (MDD) is associated with a disruption in brain networks. This paper …

Non-invasive brain stimulation (NIBS) treatments have gained considerable attention as a
potential therapeutic intervention for psychiatric disorders. The identification of reliable …

Predicting the therapeutic result of repetitive transcranial magnetic stimulation (rTMS)
treatment could save time and costs as ineffective treatment can be avoided. To this end, we …