Psychiatry

Schizophrenia

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

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Discrimination of schizophrenia auditory hallucinators by machine learning of resting-state functional MRI.

Auditory hallucinations (AH) are a symptom that is most often associated with schizophrenia, but pat...

A machine learning approach using auditory odd-ball responses to investigate the effect of Clozapine therapy.

OBJECTIVE: To develop a machine learning (ML) methodology based on features extracted from odd-ball ...

Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.

Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challen...

Enhancing Interpretability of Ocular Disease Diagnosis: A Zero-Shot Study of Multimodal Large Language Models.

Visual foundation models have advanced ocular disease diagnosis, yet providing interpretable explana...

From resting-state functional hippocampal centrality to functional outcome: An extended neurocognitive model of psychosis.

BACKGROUND: We previously proposed a neurocognitive model of psychosis in which reduced morphometric...

Cortical myelin mapping in antipsychotic medication-naïve, first-episode psychosis patients.

While white matter myelin primarily functions to accelerate conduction velocity and has been extensi...

Prediction of remission of pharmacologically treated psychotic depression: A machine learning approach.

BACKGROUND: The combination of antidepressant and antipsychotic medication is an effective treatment...

Modeling the Determinants of Subjective Well-Being in Schizophrenia.

BACKGROUND: The ultimate goal of successful schizophrenia treatment is not just to alleviate psychot...

Brain Fractal Dimension and Machine Learning can predict first-episode psychosis and risk for transition to psychosis.

Although there are notable structural abnormalities in the brain associated with psychotic diseases,...

Distinct processing stages of cross-modal conflict in schizophrenia: The role of auditory cortex underactivation.

BACKGROUND: The cross-modal conflict deficit is a key feature of schizophrenia. However, it remains ...

Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review.

Schizophrenia is a severe yet treatable mental disorder, and it is diagnosed using a multitude of pr...

Hugan Tiaoshen Formula Improves the Comorbid Mechanism of Schizophrenia and Sleep Disorder via Multitarget Interaction Network.

This study aims to integrate cross-disease omics data and perform multidimensional analysis to uncov...

A Pilot Analysis Investigating the Use of AI in Malingering.

Generative artificial intelligence (AI), with its increasing ubiquity and power, will likely transfo...

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches.

Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric cond...

A case study on generative artificial intelligence to extract the fundamental sleep parameters from polysomnography notes.

UNLABELLED: Generative artificial intelligence utilizing transformer technology is widely seen as a ...

COMPASS: Computational mapping of patient-therapist alliance strategies with language modeling.

The therapeutic working alliance is a critical predictor of psychotherapy success. Traditionally, wo...

Multimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization with Biomedical Applications.

The scarcity of high-quality multimodal biomedical data limits the ability to effectively fine-tune ...

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