Psychiatry

Schizophrenia

Latest AI and machine learning research in schizophrenia for healthcare professionals.

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A New Insight in Cellular and Molecular Signaling Regulation for Neural Differentiation Program.

Numerous neurological conditions impact the brain, spinal cord, and nerves, including neurodegenerat...

Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes.

This study explores the use of deep learning to analyze genetic data and predict phenotypic traits a...

Evaluating large language models for drafting emergency department encounter summaries.

Large language models (LLMs) possess a range of capabilities which may be applied to the clinical do...

A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology.

Histopathological staining of human tissue is essential for disease diagnosis. Recent advances in vi...

Providing context: Extracting non-linear and dynamic temporal motifs from brain activity.

Approaches studying the dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) ac...

Causal Discovery Analysis Reveals Insights into Psychosis Proneness, Brain Function, and Environmental Factors among Young Individuals.

Experiencing mild symptoms of psychosis, like delusions and hallucinations, occurs sometimes in gene...

Machine learning for classification of pediatric bipolar disorder with and without psychotic symptoms based on thalamic subregional structural volume.

BACKGROUND: The thalamus plays a crucial role in sensory processing, emotional regulation, and cogni...

Efficacy of rTMS on SCZ symptoms: Insights from connectome mapping.

Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ)...

Large Language Models in Medicine: Applications, Challenges, and Future Directions.

In recent years, large language models (LLMs) represented by GPT-4 have developed rapidly and perfor...

Detecting Tardive Dyskinesia Using Video-Based Artificial Intelligence.

Tardive dyskinesia (TD) is a late-onset adverse effect of dopamine receptor-blocking medications, c...

A scientometric analysis of machine learning in schizophrenia neuroimaging: Trends and insights (2012-2024).

Machine learning applications in schizophrenia neuroimaging research have undergone significant evol...

Automated analysis of clinical interviews indicates altered head movements during social interactions in youth at clinical high-risk for psychosis.

Alterations in social functioning are commonly observed in youth at clinical high risk (CHR) for psy...

DiverseReID: Towards generalizable person re-identification via Dynamic Style Hallucination and decoupled domain experts.

Person re-identification (re-ID) models often fail to generalize well when deployed to other camera ...

The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy.

Motor activity alterations are key symptoms of psychiatric disorders like schizophrenia. Actigraphy,...

Blunted Niacin Skin Flushing Response in Schizophrenia: A Meta-analysis.

BACKGROUND AND HYPOTHESIS: The multifactorial pathogenesis of schizophrenia (SZ) hinders the diagnos...

Artificial intelligence in primary care: a plausible prospect or distant delusion?

BACKGROUND: Artificial intelligence (AI) offers an innovative means of changing primary care, yet th...

Cyclic peptide structure prediction and design using AlphaFold2.

Small cyclic peptides have gained significant traction as a therapeutic modality; however, the devel...

Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis.

BACKGROUND: Over the last decade, there has been considerable development in precision psychiatry, e...

Use of Large Language Models in Clinical Cancer Research.

Artificial intelligence (AI) is increasingly being applied to clinical cancer research, driving prec...

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