Psychiatry

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

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A scoping review of large language models for generative tasks in mental health care.

Large language models (LLMs) show promise in mental health care for handling human-like conversation...

Predicting the onset of mental health problems in adolescents.

OBJECTIVE: Mental health problems are the major cause of disability among adolescents. Personalized ...

Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis.

Exploring the pathogenic mechanisms of brain disorders within population is an important research in...

Suicide risk prediction for Korean adolescents based on machine learning.

Traditional clinical risk assessment tools proved inadequate for reliably identifying individuals at...

Biological age prediction in schizophrenia using brain MRI, gut microbiome and blood data.

The study of biological age prediction using various biological data has been widely explored. Howev...

Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.

Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) ...

Brain circuits that regulate social behavior.

Social interactions are essential for the survival of individuals and the reproduction of population...

Therapeutic potential of enzymes, neurosteroids, and synthetic steroids in neurodegenerative disorders: A critical review.

Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the...

Trade-offs between machine learning and deep learning for mental illness detection on social media.

Social media platforms provide valuable insights into mental health trends by capturing user-generat...

Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study.

BACKGROUND: Recent years have seen an immense surge in the creation and use of chatbots as social an...

Effect of AI-based pre-hospital health education via QR code on APAIS scores in patients with breast nodules: A retrospective study.

PURPOSE: To explore the effect of AI-based pre-hospital health education via QR code on preoperative...

Specific expression and common potential therapeutic drugs in different brain regions of major depressive disorder patients: bioinformatics analysis.

Major depressive disorder (MDD) is a prevalent and debilitating mental health condition characterize...

A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection.

Autism Spectrum Disorder (ASD) affects approximately [Formula: see text] of the global population an...

Decoding vital variables in predicting different phases of suicide among young adults with childhood sexual abuse: a machine learning approach.

Young adults with childhood sexual abuse (CSA) are an especially vulnerable group to suicide. Suicid...

Validating Emotion Analysis on Social Media Text for Detecting Psychological Distress: A Cross-Sectional Survey.

This study investigates the relationship between self-reported psychological distress and emotions i...

Comparing three neural networks to predict depression treatment outcomes in psychological therapies.

OBJECTIVE: Artificial neural networks have been used in various fields to solve classification and p...

Recent advances in therapeutic probiotics: insights from human trials.

SUMMARYRecent advances in therapeutic probiotics have shown promising results across various health ...

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