Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: Research consistently shows that depression and suicidal ideation (SI) often cooccur. However, SI can arise without elevated depressive symptoms, suggesting that additional factors may also contribute. This study investigated the protective and vulnerability factors associated with SI beyond depressive symptomatology in the academic community. METHODS: We employed multiple kernel learn...
Spatial transcriptomics extends traditional transcriptomic methods by quantifying gene expression within intact tissues while preserving each cell's precise spatial context. This technology also captures gene expression under physiological conditions, including interactions with the surrounding microenvironment, thereby enhancing our understanding of cellular states in both health and disease. Rap...
PURPOSE OF REVIEW: Addictive behaviors, including both substance use disorders and behavioral addictions, arise from complex interactions among biolog...
Although deep learning models have shown promising results in detecting major depressive disorder (MDD), two main limitations remain: insufficient exp...
BACKGROUND: Conversational agents (CAs) are increasingly used in mental health care to enhance access and engagement. However, their safe, ethical, an...
Self-injurious behavior (SIB) is a substantial clinical challenge for many individuals on the autism spectrum, and support strategies are often only r...
Chronic pain is the hall-mark symptom of osteoarthritis (OA) and although several therapies are available, a sizeable number of patients do not gain a...
Suicide remains a leading cause of death and a significant public health concern in the United States. A majority (83%) of suicide decedents had a hea...
The human neocortex is functionally organised at its highest level along a continuous sensory-to-association (AS) hierarchy. This study investigates t...
Large language model chatbots such as ChatGPT have been adopted by millions of users, yet their psychiatric implications are poorly understood. Recent...
PURPOSE OF REVIEW: Large language models (LLMs) are increasingly integrated into digital mental health tools, yet their role in substance use disorder...
Attention Deficit Hyperactivity Disorder (ADHD) is the most common childhood neurodevelopment disorder that is characterized by symptoms of inattentio...
BACKGROUND: Targeted drugs are medications designed to treat diseases by targeting specific sites on cancerous or diseased cells. Multi-target drugs c...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into dental diagnostics and education, including AI-assisted radiograph interpreta...
Attention deficit hyperactivity disorder (ADHD) is a neurological disorder that primarily develops in early childhood and affects motor development, v...
OBJECTIVE: Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS...
BACKGROUND: Patients' digital access to their personal health data is becoming increasingly common worldwide. However, medical documentation often con...
BACKGROUND: Veterans face an increased risk of common mental disorders when compared to civilian groups. However, veteran disengagement from treatment...
Parkinson's disease (PD) is a progressive neurodegenerative disorder diagnosed clinically by cardinal motor symptoms, with structural brain changes as...
OBJECTIVE: To investigate the effects of death anxiety and spirituality on the psychological well-being of geriatric home care patients. METHODS: A de...