Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: Artificial Intelligence (AI) integration in healthcare education represents a critical technological advancement that requires careful examination of student preparedness and acceptance. In the Palestinian context, limited research exists on nursing students' psychological responses to AI implementation, despite growing global emphasis on AI competency in healthcare professions. Unders...
BACKGROUND: AI learning anxiety and job substitution anxiety hinder the use of AI in healthcare. Primary nurses lack training resources, a strong sense of substitution risk, and weak organizational support. Trust is the key to solving AI anxiety and using AI among primary nurses. Therefore, this study aimed to validate the mediating role of AI trust between AI anxiety and the continuous adoption o...
BACKGROUND: The increasing prevalence of mental health disorders, compounded by a global shortage of psychotherapists, highlights the need for innovat...
This two-study investigation aimed to assess the psychometric properties of the Italian version of the General Attitudes towards Artificial Intelligen...
BACKGROUND: Depression is very common in middle-aged and elderly cancer patients, which will seriously damage the quality of life and treatment effect...
BACKGROUND: Adopting generative artificial intelligence (GenAI) in education rapidly transforms learning environments, yet nursing students' acceptanc...
The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibilities, particularly in the prevention of chronic ...
BACKGROUND: Cerebral perivascular spaces (PVS) are involved in cerebrospinal fluid (CSF) circulation and clearance of metabolic waste in adult humans....
BACKGROUND: Mental health disorders affect an estimated 1 in 8 individuals globally, yet traditional interventions often face barriers, such as limite...
BACKGROUND: Substance use disorder (SUD) involves excessive substance consumption and persistent reward-seeking behaviors, leading to serious physical...
γ neuromodulation has emerged as a promising strategy for addressing neurological and psychiatric disorders, particularly in regulating executive and ...
Breast cancer, the most commonly diagnosed disease worldwide, has been linked to the overexpression of the kinesin Eg5 protein, a spindle motor protei...
The integration of artificial intelligence (AI) into psychiatric-mental health care presents transformative opportunities for psychiatric-mental healt...
BACKGROUND: Predicting outcomes in schizophrenia spectrum disorders is challenging due to the variability of individual trajectories. While machine le...
Loneliness, social isolation, and anxiety affect millions of people across the world. Communication technologies, including artificial intelligence (A...
BACKGROUND: Suicide in local jails occurs at a higher rate than in the general population, requiring improvements to risk screening methods. Current s...
BACKGROUND: The incorporation of artificial intelligence (AI) and machine learning (ML) into medicine has enhanced clinical information processing. Ch...
Modeling the dynamic characteristics of functional brain networks is of great significance for uncovering the mechanisms of brain function. Although g...
Major depressive disorder (MDD) is a complex mental health condition whose causes may extend beyond purely biological explanations and are increasingl...
Depression is a serious mental health disorder with a potential hazard for individuals and society characterized by persistent sadness and hopelessnes...