Latest AI and machine learning research in psychiatry for healthcare professionals.
Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using electroencephalogram (EEG) and deep learning. To tackle this, we developed a cloud-based computer-aided depression diagnostic (CCADD) system that utilizes EEG signals from local databases. This system was optimized through a series of experiments to identify the most accurate model. The experiments em...
While white matter myelin primarily functions to accelerate conduction velocity and has been extensively studied in schizophrenia-spectrum disorders (SSD), less is known about the role of gray matter myelin in SSD. Cortical myelination occurs mostly on the proximal axons of parvalbumin positive (PV+) interneurons, where it assists in trophic support and experience-dependent plasticity. Given the r...
BACKGROUND: Current antidepressants have shown certain limitations in the treatment of unipolar depression. Their long onset of action, interactions, ...
The article by Moizard and Geoffroy highlights the importance of an integrated approach in psychiatry, emphasizing the need to move beyond the dichoto...
Ontologies are structured frameworks for representing knowledge by systematically defining concepts, categories, and their relationships. While widely...
Psychotherapy and antidepressant medications are first-line treatments for depression, and they both have significant treatment effects on average. H...
BACKGROUND AND HYPOTHESIS: The multifactorial pathogenesis of schizophrenia (SZ) hinders the diagnosis and treatment of this disorder. Niacin skin flu...
In real-world psychiatric practice, patients may experience complex treatment journeys, including various diagnoses and lines of therapy. Insurance cl...
Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents, significantly increasing the risk of suicide and...
OBJECTIVE: To review the current evidence on the use of artificial intelligence-driven speech and voice analysis as a biomarker for depression.
BACKGROUND: Emotional disorders such as depression and anxiety affect millions globally and pose a significant burden on public health. Personalized t...
Diagnosing ASD in adults presents unique challenges, and there are currently no specific biomarkers for this condition. Most existing studies on the ...
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder with a complex etiology. The current diagnostic pr...
BACKGROUND: Consumers are increasingly using large language model-based chatbots to seek mental health advice or intervention due to ease of access an...
BACKGROUND/OBJECTIVES: Artificial intelligence (AI)-enabled digital interventions are increasingly used to expand access to mental health care. This P...
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by inattention, hyperac...
INTRODUCTION: Postpartum depression (PPD) is a prevalent mental health issue that poses significant challenges to maternal wellbeing and infant develo...
INTRODUCTION: Symptoms of autism spectrum disorder (ASD) range from mild to severe and are evident in early childhood. Children with ASD have difficul...
Status epilepticus (SE), seizures lasting beyond five minutes, is a medical emergency commonly treated with benzodiazepines which enhance GABA recepto...
BACKGROUND: Large language models (LLMs), such as OpenAI's GPT-3.5, GPT-4, and GPT-4o, have garnered early and significant enthusiasm for their potent...