Latest AI and machine learning research in psychiatry for healthcare professionals.
AI is increasingly being integrated into mental health support, with applications spanning chatbots,...
Adaptive neuromodulation offers a path toward personalized neuropsychiatric treatment by allowing th...
BACKGROUND: Cerebral small vessel disease (CSVD) is the key pathological basis of vascular depressio...
BACKGROUND: Fibromyalgia (FM) is a multifaceted chronic pain disorder presenting with pain throughou...
BACKGROUND: Informal caregivers make up a large share of the care provided to people living with dem...
BackgroundArtificial intelligence (AI) is increasingly integrated into healthcare and physiotherapy ...
AI is already in the mental health consulting room, whether clinicians invite it or not. OpenAI repo...
INTRODUCTION: Therapeutic interviewing supports rapport building, diagnostic accuracy, and person-ce...
Spinal cord injury (SCI) and traumatic brain injury (TBI) are severe events that cause lasting senso...
BACKGROUND: Generative AI (GenAI) tools, such as OpenAI's ChatGPT, Google's Gemini, and Microsoft Co...
BACKGROUND: Psychotherapy is a guideline-conform treatment approach for most mental disorders. Recen...
Theory of mind is central to human social behavior, yet empirical studies rely largely on biased mea...
UNLABELLED: As artificial intelligence becomes increasingly integrated into children's therapeutic e...
BACKGROUND: AI-enabled voice electronic medical records (EMRs) are increasingly promoted as tools to...
BACKGROUND: Schizophrenia spectrum disorders (SSDs) are chronic conditions associated with profound ...
BACKGROUND: Mental disorders are a leading cause of disease burden in 10-24-year-olds. In Australia,...
OBJECTIVE: Understanding how emotional arousal is represented in the brain is fundamental for elucid...
The translational validity of animal models in psychiatric research remains a persistent challenge, ...
Medical artificial intelligence (AI) benchmarks are increasingly used to assess the readiness of lar...
PURPOSE: To develop optimal algorithms of parent-administered items to improve the detection of auti...
Antidepressant prescribing in major depressive disorder is guided by evidence-based recommendations,...