Latest AI and machine learning research in schizophrenia for healthcare professionals.
BACKGROUND: Patients increasingly turn to the Internet and, more recently, to Large Language Models (LLMs) to seek answers to dental questions. However, the safety of LLM-generated dental advice for patients has not been systematically assessed. METHODS: Thirty dental questions spanning six disciplines were developed and posed in Polish and English to six LLMs. Each question was answered five time...
BACKGROUND: Cognitive impairment is a core yet treatment-resistant feature of schizophrenia (SZ), and reliable biomarkers predicting cognitive improvement remain scarce. This study identified a baseline plasma metabolic signature for predicting antipsychotic-induced cognitive improvement and elucidated the preliminary evidence for early cognitive improvement in first-episode drug-naïve SZ patients...
The emergence of foundation models has marked a transformative shift in AI, enabling robust generalization across diverse downstream tasks through put...
INTRODUCTION: Recurrent psychiatric hospitalizations in youth are costly and burdensome to patients and families. While postdischarge planning rarely ...
Introduction: Emotional ambivalence - the coexistence of conflicting positive and negative feelings toward the same object, event, or person - has bee...
Temporal graph learning is inherently subject to illusory structural dynamics, which is a phenomenon in which transient noise and ephemeral perturbati...
BACKGROUND: Generative artificial intelligence (GenAI) can automate time-intensive tasks and support clinical decision-making in care settings. Nurses...
INTRODUCTION: First episode psychosis (FEP) refers to a variable clinical presentation of the onset of psychotic symptoms and represents a key point i...
Recent magnetic resonance imaging (MRI) studies have revealed connectivity abnormalities in brain networks of schizophrenia (SZ). Graph Neural Network...
OBJECTIVE: To evaluate hippocampal subfield radiomics for identifying aggressive behavior in hospitalized patients with schizophrenia and to validate ...
Identifying biomarkers for serious mental illnesses (SMI) has significant implications for early intervention and prevention. The current study uses m...
The ability to predict the complete, step-by-step mechanism of chemical reactions from first principles remains a grand challenge in science. The impo...
Advances in voice recognition and artificial intelligence (AI) could soon yield digital conversation companions-software that combines conversational ...
BACKGROUND: Effective communication about breast and cervical cancers remains a public health challenge, with widespread misinformation and barriers t...
BACKGROUND: Interhospital transfer of patients with suspected ST-elevation myocardial infarction (STEMI) requires timely and robust communication. Cli...
Depressive disorder (DD), Alzheimer's disease (AD), and schizophrenia (SZ) are evolutionarily relevant traits that disrupt neural networks supporting ...
BACKGROUND: Advanced brain aging is closely associated with late-onset psychoses, including bipolar disorder(BD), schizophrenia(SP), and major depress...
BACKGROUND: Linguistic abnormalities in schizophrenia (SCZ) span morphological, syntactic, semantic, and discourse levels. Converging cross-linguistic...