Latest AI and machine learning research in psychiatry for healthcare professionals.
A number of articles have heralded the use of artificial intelligence (AI) agents to serve as a replacement for human psychotherapists. Despite the rapid advancements in the use of both rule-based and generative AI programs in the recent past, an overall review shows only small impacts on certain mental health symptoms, particularly depression, and then only in the short-term. Significant strides ...
We aimed to develop and validate a risk estimation model for developing bipolar-spectrum disorders (BSD) in psychiatrically hospitalized adolescents based on clinical characteristics, including putatively prodromal symptoms. Adolescent inpatients (ages = 12-18 years) with non-psychotic/non-BSD diagnoses were recruited for the Adolescent Mood Disorder and Psychosis Study (AMDPS), a longitudinal, pr...
Chronic social isolation stress (CSIS) is a well-established preclinical model for studying stress-induced neurobiological changes and their effects o...
Neuroimaging offers powerful evidence for the automated diagnosis of major depressive disorder (MDD). However, discrepancies across imaging modalities...
Large language models can transform individuals' mental health descriptions into scores that correlate with rating scales approaching theoretical uppe...
Grief is a complex and multifaceted process. While there is no reason to think that the grieving process would be dissimilar if an LGBTQ+ individual l...
There is considerable evidence implicating maternal immune activation (MIA) and cytokine dysregulation in the pathophysiology of Autism. However, cyto...
BACKGROUND: The demethylation is suspected to play a role in the development of major depressive disorder (MDD), but the precise biological mechanisms...
BACKGROUND: Depression is a psychological disorder characterized by altered self-referential cognition and impaired emotional expression. Traditional ...
Neurodevelopmental disorders exhibit highly similar behavioral characteristics in clinical assessments, heavily relying on subjective behavioral repor...
Preclinical evidence points to disturbances in neural networks in psychosis involving interrelations between dopaminergic-, GABAergic- and glutamaterg...
Body dysmorphic disorder (BDD) is characterized by distressing preoccupations with perceived appearance flaws, leading to functional impairment and su...
BACKGROUND: Generative Artificial Intelligence(GenAI) significantly enhances medical research efficiency but raises ethical concerns regarding researc...
BACKGROUND: Major depressive disorder (MDD) has been increasingly understood as a disorder of network-level functional dysconnectivity. However, previ...
Although many previous studies have highlighted the advances in prediction models, instruments for pathological and histological diagnosis and treatme...
There have been exciting advancements in mechanisms of change research, but most innovations are rarely applied in community settings. Growing depress...
Psychosocial support in oncology is gaining increasing importance in the comprehensive therapy and care of cancer patients, yet personal assistance re...
Psychotherapy chatbots have attained remarkable fluency, skill and ubiquity - having become the single most frequent reason people use artificial inte...
Objective: Microcounseling skills are fundamental to effective psychotherapy, yet manual coding is time- and resource-intensive. This study explores t...
BACKGROUND: Mental health issues, including depression, anxiety, and insomnia, are increasingly prevalent among university students and graduates, esp...