Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: Obsessive-compulsive disorder (OCD) frequently emerges during adolescence, a critical period of brain network maturation. Although altered functional and structural connectivity have been reported separately in adolescent OCD, structural-functional connectivity (SC-FC) coupling, which reflects how white matter architecture shapes functional organization, remains unexplored. METHODS: Fi...
BACKGROUND: The psychiatric burden among college students has escalated substantially. However, traditional campus-based screening programs remain hampered by high false-positive rates and limited psychiatric referral resources. This study developed an interpretable machine learning framework to distinguish screen-positive students from university-aged patients with clinically diagnosed psychiatri...
OBJECTIVES: Building on innovations for autism detection-where artificial intelligence (AI)-based models monitor clinical data within electronic healt...
Understanding how the brains structural architecture supports task-evoked functional activity is a fundamental goal of neuroscience. However, most pre...
Digital doppelgangers are individualized, continuously updated digital representations of a person constructed from behavioral, physiological, and con...
BACKGROUND AND OBJECTIVES: To examine the ethical considerations related to artificial intelligence technologies in dementia across diagnostic, manage...
There is an increasing call for individualized treatment rules, which leverage individual patient characteristics to recommend treatments or intervent...
BACKGROUND: Anxiety disorders are highly prevalent among adults with autism, with 20%-65% experiencing at least one diagnosable anxiety disorder. Whil...
BACKGROUND: SMS text message reminders have been used to promote many health behaviors, such as improving diet and physical activity, managing chronic...
BACKGROUND: Therapeutic chatbots are increasingly deployed across digital mental health services, yet most evaluation efforts remain diagnostic rather...
Psychosis prevention relies on early detection of individuals at clinical high risk for psychosis (CHR-P). The effectiveness of the CHR-P state is con...
Major depressive disorder (MDD) is a risk factor for neurodegeneration, yet its heterogeneity makes identifying at-risk subtype challenging. Notably, ...
PURPOSE: Adolescent idiopathic scoliosis (AIS) has a large impact on health-related quality of life (HRQoL) including poor psychosocial functioning, b...
Anion exchange membrane water electrolysis (AEMWE) has emerged as a pivotal pathway bridging laboratory-scale research to large-scale hydrogen product...
BACKGROUND: Schizophrenia (SZ) patients exhibit abnormalities in language expression, including semantic confusion and apathy, which significantly imp...
Recent reports have described suicides temporally associated with artificial intelligence (AI)-mediated interactions, including conversational agents ...
BACKGROUND: Effective communication is crucial for high-quality health care, but systemic barriers still disrupt patient-provider interactions. Resear...
Mental health issues, especially depressive symptoms, among young adults represent a public health challenge. Conventional psychological assessment to...
BACKGROUND: Accurate psychiatric assessment requires understanding a person's unique experience within their psychosocial context. Clinical interviews...