Latest AI and machine learning research in schizophrenia for healthcare professionals.
OBJECTIVE: To evaluate whether large language models (LLMs) can autonomously synthesize existing literature and accurately extract prognostic variables for neonatal intraventricular hemorrhage (IVH) and its outcomes while assessing their capability for clinical feature ranking and risk stratification. STUDY DESIGN: This pilot study employed a systematic literature review combined with retrieval au...
BACKGROUND: Artificial intelligence (AI) increasingly supports medical diagnosis, interventions, and clinical decision-making. In various domains of human communication, AI systems based on large language models offer effective tools for conducting interviews, supportive dialogue, and engaging in problem-focused discussions with healthy individuals and clinical patients. In contemporary clinical s...
Schizophrenia (ScZ) is a growing global health concern that affects millions of people and puts severe pressure on healthcare systems. Early detection...
INTRODUCTION: Artificial intelligence (AI) chatbots, powered by large language models, are used increasingly for disseminating surgical information, b...
A man breached Windsor Castle with a crossbow after his large language model (LLM)-based companion encouraged an assassination plan. A father's questi...
Efforts to predict schizophrenia risk using biological data have been hampered by the heterogeneity of current "clinical-high-risk" (CHR-P) criteria, ...
BACKGROUND: Observational data are fundamental to medical research but present formidable challenges for causal inference. Machine learning-based caus...
BACKGROUND: Schizophrenia (SCZ) and Bipolar Disorder (BD) are prevalent mental disorders. This study uses functional near-infrared spectroscopy (fNIRS...
Schizophrenia is a severe neuropsychiatric disorder with a significant impact on individual's real-life functioning. It is characterized by abnormal a...
Artificial intelligence (AI) is increasingly used in mental health, yet its rehabilitation-oriented applications in schizophrenia have not been system...
INTRODUCTION: . Pharmacological treatment is the mainstay in the acute and long-term management of severe mental disorders such as major depressive di...
Large language models (LLMs) are poised to become a ubiquitous feature of everyday life, mediating communication, decision making, and information cur...
BACKGROUND: Growth of generative artificial intelligence (GenAI) has exploded in recent years. Many have noted its substantial potential to increase a...
The cerebro-cerebellar system, a network of bidirectional loops between the cerebellum and cerebral cortex, is crucial for coordinating motor control,...
Mesocorticostriatal dopamine projections are crucial for value learning, motivational control, and cognitive functions. However, while dopamine's role...
Computed tomography (CT) is a major medical imaging modality. Clinical CT scenarios, such as low-dose screening, sparse-view scanning, and metal impla...
INTRODUCTION AND AIMS: Automated dental report generation faces significant challenges in multimodal fusion, often resulting in suboptimal semantic qu...
ObjectiveThis review sought to systematize knowledge about the use of artificial intelligence in neurobiological research of mental disorders and asse...