Schizophrenia

Hallucination filtering in radiology vision-language models using discrete semantic entropy.

OBJECTIVE: To determine whether using discrete semantic entropy (DSE) to reject questions likely to ...

Identifying Transdiagnostic Predictors of Depression Across Psychoses: Informing Stratified Antidepressant Treatments.

INTRODUCTION: Depression frequently co-occurs with psychosis and is associated with poor outcomes. E...

Looking back to the future of psychiatry: reflections on an international sojourn.

Psychiatry's metamorphosis continues to evolve over time as concepts of the brain's neuronal functio...

Prediction models for suicide reattempts by lasso regression through machine learning models: Single versus multiple suicide attempters.

The best predictor of a suicide attempt is a previous attempt, apart from psychiatric diagnoses also...

Predicting treatment response in psychosis using fMRI: A comprehensive review.

In recent years, the use of functional Magnetic Resonance Imaging (fMRI) methods to predict treatmen...

Integrating qHTS and QSAR Models to Identify Safe GPCR-Targeted Compounds: A Focus on hERG-Dependent Cardiotoxicity.

G-protein-coupled receptors (GPCRs) are a diverse family of seven-transmembrane domain receptors tha...

Threat discrimination of real-world social interactions in schizotypal traits.

Threat detection is compromised across the schizophrenia spectrum, often revealed by paranoia and de...

De novo design of GPCR exoframe modulators.

G-protein-coupled receptors (GPCRs) are important therapeutic targets and have been targeted mainly ...

Interconnected Cognitive and Neuroimmune Impairments in Schizophrenia: Modulating Effects of Antipsychotic Type, Illness Duration, and Symptom Severity.

OBJECTIVE: Cognitive impairment in schizophrenia (SCZ) is associated with neuroinflammation and neur...

Neuroimaging-derived brain age as a new promising biomarker in mental disorders.

Mental disorders are frequently associated with accelerated brain aging, yet the diagnostic and clas...

Improved schizophrenia detection using structural MRI with multi-scale transform and deep orthogonal features.

Chatbot psychosis: moving beyond recognition to mechanistic understanding and harm reduction.

The chatbot psychosis phenomenon is no longer just a hypothesis. We call for interdisciplinary frame...

Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations.

We present a high-throughput behavioral dataset acquired with Ambitus, an automated reward-based cor...

Analysis and prediction of schizophrenia patients based on high-order graph attention generative adversarial networks.

Generative Adversarial Networks, a popular deep learning method, have achieved excellent performance...

Exploring the intricate interplay between metabolic abnormalities and multidimensional cognitive impairment in stable schizophrenia patients.

Cognitive deficits across multiple domains are prevalent in patients with schizophrenia (PWS), and m...

From non-specific biomarker to targeted action: transdiagnostic and sex-specific drivers of high-CRP status in severe mental illness across the FondaMental Advanced Centers of Expertise (FACE) cohorts.

BACKGROUND AND OBJECTIVES: Low-grade systemic inflammation contributes to the pathophysiology of sev...

Constructing fine-grained subcortical atlases with connectional consensus graph representation learning.

Objective.The complex internal organization of subcortical structures forms the foundation of critic...

Ontology-grounded knowledge graphs for mitigating hallucinations in large language models for clinical question answering.

OBJECTIVE: Large Language Models (LLMs) show strong potential in biomedical informatics but frequent...

Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working Group.

BACKGROUND: Bipolar disorder (BD) is associated with clinical and biological markers of premature ag...

Two Decades of Metaphorical Use of Schizophrenia in Brazilian Newspapers: A Machine Learning Approach.

Media representation of mental illness has the potential to reinforce stigma. This phenomenon may ar...

Artificial intelligence for schizophrenia: from unimodal prediction to multimodal characterization.

PURPOSE OF REVIEW: Artificial intelligence is increasingly advancing both fundamental research and c...