Healthcare is a high-priority sector where people expect the highest levels of care and
service, regardless of cost. That makes it distinct from other sectors. Due to the promising …

Automated speech analysis techniques, when combined with artificial intelligence and
machine learning, show potential in capturing and predicting a wide range of psychosis …

Objective Body mass index (BMI) is the primary criterion differentiating anorexia nervosa
(AN) and atypical anorexia nervosa despite prior literature indicating few differences …

Background Identifying individuals with depressive symptomatology (DS) promptly and
effectively is of paramount importance for providing timely treatment. Machine learning …

Aim Recent advances in natural language processing models are expected to provide
diagnostic assistance in psychiatry from the history of present illness (HPI). However …

Background The absence of clinically-validated biomarkers or objective protocols hinders
effective major depressive disorder (MDD) diagnosis. Compared to healthy control (HC) …

Introduction: Depression is a global concern, with a significant number of people affected
worldwide, particularly in low-and middle-income countries. The rising prevalence of …

In the digital era, Artificial Intelligence (AI) has arisen as a revolutionary influence with the
potential to transform multiple spheres of human life. Chatbots, particularly OpenAI's Chat …

Depression has profound personal, societal, and economic impacts. Leveraging advances
in technology can help identify predictors of depression. In this study, we compared seven …

Objective A plethora of studies have unequivocally established the profound significance of
harmonious familial relationships on the psychological well-being of the elderly. In this …