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 …

Background Depression is one of the most significant health conditions in personal, social,
and economic impact. The aim of this review is to summarize existing literature in which …

Depression is a common and complex mental health condition that affects millions of people
in the world. Medical advice, medications, and constant medical supervision by a specialist …

The dominant paradigm of experiments in the social and behavioral sciences views an
experiment as a test of a theory, where the theory is assumed to generalize beyond the …

Abstract Forms of Artificial Intelligence (AI) are already being deployed into clinical settings
and research into its future healthcare uses is accelerating. Despite this trajectory, more …

Summary Background Globally, 1· 3 billion people have a disability and are more likely to
experience poor health than the general population. However, little is known about the …

Depression is a common illness worldwide with doubtless severe implications. Due to the
absence of early identification and treatment for depression, millions of individuals …

A significant level of stigma and inequality exists in mental healthcare, especially in under-
served populations. Inequalities are reflected in the data collected for scientific purposes …

This study employs machine learning to detect the severity of major depressive disorder
(MDD) through binary and multiclass classifications. We compared models that used only …

This comprehensive review article embarks on an extensive exploration of anxiety research,
navigating a multifaceted landscape that incorporates various disciplines, such as molecular …