Latest AI and machine learning research in schizophrenia for healthcare professionals.
Conversational artificial intelligence (AI) chatbots are increasingly used for emotional support, companionship, and psychological reflection. Their capacity to simulate attentiveness, empathy, and conversational continuity may shift technology use from instrumental interaction toward relational engagement. Emerging clinical observations suggest that intensive chatbot use may, in vulnerable indivi...
The brain age gap (BAG), the difference between magnetic resonance imaging-predicted brain age and chronological age, is a proposed marker of neurobiological aging, yet its transdiagnostic significance remains uncertain. This meta-analysis evaluated BAG in Alzheimer's disease (AD), mild cognitive impairment (MCI), multiple sclerosis (MS), Parkinson's disease (PD), schizophrenia (SCZ), stroke, and ...
The selection of a "good" model usually involves a combination of objective and subjective criteria. Although many aspects of model quality can be exp...
OBJECTIVES: This study aimed to evaluate the accuracy and error patterns of four artificial intelligence-based large language models (LLMs) in identif...
BACKGROUND: Schizophrenia (SCZ) is a highly heritability psychological disorder, however the exact etiology remains unclear, and lack of the reliable ...
BACKGROUND: Tardive dyskinesia (TD) is a common, often underrecognized movement disorder resulting from long-term antipsychotic use, yet its detection...
OBJECTIVES: This study aimed to compare the diagnostic accuracy and citation integrity of four large language models (LLMs) including one general (Cha...
This study introduces a novel adaptive deep learning framework for EEG-based schizophrenia diagnosis that addresses the limitations of existing static...
BACKGROUND CONTEXT: Low back pain (LBP) is common and a major cause of disability globally. Generative artificial intelligence (GenAI) such as ChatGPT...
BACKGROUND: Digital phenotyping - the moment-by-moment quantification of individual-level human behavior using data from personal digital devices - of...
BACKGROUND: Cognitive impairment is a core and enduring deficit in schizophrenia, severely affecting social functioning and quality of life. Tradition...
The comorbidity of schizophrenia (SZ) and substance use disorder (SUD), also known as dual schizophrenia (SZ+), represents a clinical challenge due to...
BACKGROUND: Over the past decade, neuropsychopharmacology has shifted from stagnation to momentum, with first-in-class mechanisms and biomarker-enable...
Eye movements are promising biomarkers for psychiatric and neurological disorders, yet conventional recording methods rely on bulky, expensive, and la...
Out-of-distribution (OoD) inputs pose a persistent challenge to deep learning models, often triggering overconfident predictions on non-target objects...
Investigating abnormal brain network characteristics in schizophrenia can improve our understanding of disease mechanisms and help identify potential ...
BACKGROUND: Fingerprint patterns are developed during pregnancy and share a common embryogenic origin with the central nervous system. Considering the...
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...
BACKGROUND: Targeted drugs are medications designed to treat diseases by targeting specific sites on cancerous or diseased cells. Multi-target drugs c...