Psychiatry

Schizophrenia

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

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RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Generating accurate radiology reports from medical images is a clinically important but challengin...

Making the most of errors: Utilizing erroneous classifications generated by machine-learning models of neuroimaging data to capture disorder heterogeneity.

Within-disorder heterogeneity complicates mapping the neurobiological features of psychopathology to...

Nov 2024 39480336
MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming

With the rapid advancement of Large Language Models (LLMs), LLM-based approaches have demonstrated...

Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers

Machine-generated data is a valuable resource for training Artificial Intelligence algorithms, eva...

Reducing Hallucinations in Vision-Language Models via Latent Space Steering

Hallucination poses a challenge to the deployment of large vision-language models (LVLMs) in appli...

Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions

Hallucinations in multimodal large language models (MLLMs) hinder their practical applications. To...

Artificial Intelligence in the Legal Field: Law Students Perspective

The Artificial Intelligence field, or AI, experienced a renaissance in the last few years across v...

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models

Introduction Schizophrenia is a severe mental disorder, and early diagnosis is key to improving ou...

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console.

SUMMARY: The vast generation of genetic data poses a significant challenge in efficiently uncovering...

Oct 2024 39115390
Feature-Prescribed Iterative Learning Control of Waggle Dance Movement for Social Motor Coordination in Joint Actions

Extensive experiments suggest that motor coordination among human participants may contribute to s...

Interpretation of SNP combination effects on schizophrenia etiology based on stepwise deep learning with multi-precision data.

Schizophrenia genome-wide association studies (GWAS) have reported many genomic risk loci, but it is...

Sep 2024 37738675
Unveiling Functional Biomarkers in Schizophrenia: Insights from Region of Interest Analysis Using Machine Learning.

BACKGROUND: Schizophrenia is a complex and disabling mental disorder that represents one of the most...

Sep 2024 39344241
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

Large language models (LLMs) have exhibited remarkable capabilities across various domains and tas...

Enhancing Clinical Data Extraction from Pathology Reports: A Comparative Analysis of Large Language Models.

This study evaluates the efficacy of a small large language model (sLLM) in extracting critical info...

Aug 2024 39176904
Anatomical Foundation Models for Brain MRIs

Deep Learning (DL) in neuroimaging has become increasingly relevant for detecting neurological con...

Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts

Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical a...

Deep Learning-based Brain Age Prediction in Patients With Schizophrenia Spectrum Disorders.

BACKGROUND AND HYPOTHESIS: The brain-predicted age difference (brain-PAD) may serve as a biomarker f...

Jul 2024 38085061
Interpreting artificial neural networks to detect genome-wide association signals for complex traits

Investigating the genetic architecture of complex diseases is challenging due to the multifactoria...

Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review.

Rapid advances in artificial intelligence (AI) have reshaped healthcare, including psychiatric nursi...

Jul 2024 39049229
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