Psychiatry

Schizophrenia

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

2,684 articles
Stay Ahead - Weekly Schizophrenia research updates
Subscribe
Browse Categories
Showing 988-1008 of 2,684 articles
MOKA: A pipeline for multi-omics bridged SNP-set kernel association test

The explosion of genomic and multi-omics data has created a need for scalable, reproducible tools th...

Zero-Shot Large Language Models for Long Clinical Text Summarization with Temporal Reasoning

Recent advances in large language models (LLMs) have shown potential in clinical text summarization,...

Large Language Models in Stroke Management: A Review of the Literature

Stroke care generates vast free-text records that slow chart review and hamper data reuse. Large lan...

An ensemble multimodal approach for predicting first episode psychosis using structural MRI and cognitive assessments

Classification between first episode psychosis (FEP) patients and healthy controls is of particular ...

Evaluating anti-LGBTQIA+ medical bias in large language models

Large Language Models (LLMs) are increasingly deployed in clinical settings for tasks ranging from p...

Evaluating General-Purpose LLMs for Patient-Facing Use: Dermatology-Centered Systematic Review and Meta-Analysis

General-purpose large language models (LLMs) have rapidly evolved from experimental tools into widel...

Predicting Olanzapine Induced BMI increase using Machine Learning on population-based Electronic Health Records

Weight gain is a common side effect in patients treated with olanzapine (N05AH03), contributing to i...

Sex-Specific Diagnostic Subtypes in Adolescents Hospitalized for Substance Use Disorders Revealed by Transformer-Based Clustering

Substance use disorders (SUD) are a leading cause of psychiatric hospitalization among adolescents, ...

Comparative Prediction of Psychotic and Mood Disorders with Multi-Model Machine Learning

Recently, there has been a surge in the number of mental health cases including paranoid schizophren...

Predicting Intentional Self-Harm Following Psychiatric Discharge in Catalonia, Spain: Machine Learning Models from Linked Registry Data

Patients recently discharged from psychiatric hospitalization are at increased risk of intentional s...

Leveraging fMRI non-stationarity for deep learning classifier training and feature detection to improve schizophrenia diagnosis

A neurobiologically-based diagnosis with superior reliability in place of clinical interview-based d...

Does later chronotype cause poorer adolescent mental health? An Adolescent Brain Cognitive Development (ABCD) Study

This study investigated whether chronotype (biobehavioral preference for sleep and wake timing) acro...

Probing the Surgical Competence of LLMs: A global health study leveraging AfriMedQA benchmarks

Global surgical care faces a severe workforce shortage, with more than 1.2 million additional specia...

Regional brain aging patterns reveal disease-specific pathways of neurodegeneration

The heterogeneity of brain aging is a hallmark of neurological and psychiatric disorders, yet machin...

Sleep Staging Foundation Models Encode Neural Disorder-Related EEG Representations that Generalize to Wakefulness

To leverage sleep foundation models trained on large datasets of polysomnography for neurological di...

Network-based Molecular Constraints on in vivo Synaptic Density Alterations in Schizophrenia

Converging neuroimaging, genetic, and post-mortem evidence highlights the fundamental role of synapt...

Medical Hallucination in Foundation Models and Their Impact on Healthcare

Hallucinations in foundation models arise from autoregressive training objectives that prioritize to...

Browse Categories