Latest AI and machine learning research in psychiatry for healthcare professionals.
Attention-Deficit/Hyperactivity Disorder (ADHD) is a widely recognized neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity. Behavioral assessment, the current gold standard for diagnosis, is subject to inaccuracies due to its subjective nature and is limited to post-symptom onset evaluations. Early diagnosis is pivotal for enhancing the quality of life in ADHD ...
Primary chronic pain syndromes are increasingly understood through advanced neuroimaging techniques, which reveal consistent structural, functional, and molecular alterations in the central nervous system. Multi-modal Magnetic Resonance Imaging-including diffusion, structural, and functional approaches-demonstrates reduced gray matter, disrupted neural network connectivity, and altered activation ...
Tic disorders (TD) are common neurodevelopmental conditions in children and adolescents, characterized primarily by motor and vocal tics, with heterog...
The mental health management of college students is a challenging process due to its inconsistent variations and action-dependent observations. Howeve...
Stigma remains a major barrier to equitable health and well-being, while artificial intelligence (AI) is increasingly recognized as a tool with both p...
Advances in pediatric research have improved the lives of infants, children, adolescents, and society at large. A decade ago the American Academy of P...
PURPOSE: To construct and evaluate a LightGBM prediction model for intellectual disabilities in children with Autism Spectrum Disorder (ASD). METHODS:...
BACKGROUND: Despite the increasing number of studies on prediction models for identifying the risk of postpartum post-traumatic stress disorder (PP-PT...
In Italy, forensic medicine education is traditionally theory-based, which limits students' access to practical experiences due to confidentiality con...
Fat mass index (FMI) reflects adiposity normalized for height and may provide information beyond body mass index. Evidence on its relationship with de...
This study aimed to identify independent predictors of quality of life in patients with multiple sclerosis (MS) using machine learning approaches. One...
Depressive symptoms frequently co-occur with hearing impairment in older adults, yet available prediction tools for this high-risk subgroup remain lim...
BACKGROUND: Sub-clinical screening for mood disorders and sleep disturbances remains challenging due to limited accessibility of mental health screeni...
BACKGROUND: Epidural electrical stimulation (EES) has emerged as a promising therapy for restoring motor function in patients with paralysis. A primar...
Depression, anxiety, and stress are significant global health burdens worsened by restricted access to care. Conversational agents (CAs), encompassing...
OBJECTIVES: Chat Generative Pretrained Transformer (ChatGPT) is a widely adopted tool that can provide immediate parenting guidance. The aim of this s...
BACKGROUND: The issue of population aging has emerged as a critical global challenge, driving the imperative for effective self-care and scalable heal...
Health care is entering an era of unprecedented detection. Artificial intelligence (AI)-driven monitors and real-world data streams now identify clini...
BACKGROUND: Family caregivers experience significant stress due to intensive caregiving activities, making them highly susceptible to adverse psychoso...
Chronic pain is a multifaceted condition shaped by biological, psychological, and social factors, which challenges its diagnosis and treatment. While ...