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Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 3991-4011 of 5,977 articles

Visual Attention Graph

Visual attention plays a critical role when our visual system executes active visual tasks by inte...

Mar 2025 http://arxiv.org/abs/2503.08531v1

Predicting and Understanding College Student Mental Health with Interpretable Machine Learning

Mental health issues among college students have reached critical levels, significantly impacting ...

Mar 2025 http://arxiv.org/abs/2503.08002v1

Accodemy: AI Powered Code Learning Platform to Assist Novice Programmers in Overcoming the Fear of Coding

Computer programming represents a rapidly evolving and sought-after career path in the 21st centur...

Mar 2025 http://arxiv.org/abs/2503.16486v1

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

In MRI-based mental disorder diagnosis, most previous studies focus on functional connectivity net...

Mar 2025 http://arxiv.org/abs/2503.04205v1

A deep learning model for characterizing altered gyro-sulcal functional connectivity in abstinent males with methamphetamine use disorder and associated emotional symptoms.

Failure to manage emotional withdrawal symptoms can exacerbate relapse to methamphetamine use. Under...

Mar 2025 40120102

The order in speech disorder: a scoping review of state of the art machine learning methods for clinical speech classification

Background:Speech patterns have emerged as potential diagnostic markers for conditions with varyin...

Mar 2025 http://arxiv.org/abs/2503.04802v1

Leveraging LLMs for Mental Health: Detection and Recommendations from Social Discussions

Textual data from social platforms captures various aspects of mental health through discussions a...

Mar 2025 http://arxiv.org/abs/2503.01442v1

Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation

Depression is a widespread mental health disorder, and clinical interviews are the gold standard f...

Mar 2025 http://arxiv.org/abs/2503.01315v1

From statistics to deep learning: Using large language models in psychiatric research.

BACKGROUND: Large Language Models (LLMs) hold promise in enhancing psychiatric research efficiency. ...

Mar 2025 39777756

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.

Purpose To develop and evaluate the performance of NNFit, a self-supervised deep learning method for...

Mar 2025 39812584

Autism Spectrum Disorder Detection Using Prominent Connectivity Features from Electroencephalography.

Autism Spectrum Disorder (ASD) is a disorder of brain growth with great variability whose clinical p...

Mar 2025 39962835

Virtual reality and artificial intelligence: the future of mental health. A narrative review.

In recent years, the use of artificial intelligence (AI) and virtual reality (VR) in the psychiatric...

Mar 2025 40084445

Artificial Intelligence and the Future of Psychotherapy: A Medical Student Perspective.

This article explores the ways artificial intelligence (AI) may impact the field of psychotherapy th...

Mar 2025 40094879

A glance into the future of artificial intelligence-enhanced scalable personalized training: A response to Kopelovich, Brian, et al. (2025) and Kopelovich, Slevin, et al. (2025).

The two articles by Kopelovich, Brian, et al. (2025) and Kopelovich, Slevin, et al. (2025) mark a ne...

Mar 2025 40095966

PsychBench: A comprehensive and professional benchmark for evaluating the performance of LLM-assisted psychiatric clinical practice

The advent of Large Language Models (LLMs) offers potential solutions to address problems such as ...

Feb 2025 http://arxiv.org/abs/2503.01903v1

Hypergraph Multi-Modal Learning for EEG-based Emotion Recognition in Conversation

Emotional Recognition in Conversation (ERC) is an important method for diagnosing health condition...

Feb 2025 http://arxiv.org/abs/2502.21154v1

ProAI: Proactive Multi-Agent Conversational AI with Structured Knowledge Base for Psychiatric Diagnosis

Most LLM-driven conversational AI systems operate reactively, responding to user prompts without g...

Feb 2025 http://arxiv.org/abs/2502.20689v1

FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework

With the increasing prevalence of mental health conditions worldwide, AI-powered chatbots and conv...

Feb 2025 http://arxiv.org/abs/2503.05786v2

Browse Categories

Visual Attention Graph

Predicting and Understanding College Student Mental Health with Interpretable Machine Learning

Accodemy: AI Powered Code Learning Platform to Assist Novice Programmers in Overcoming the Fear of Coding

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

A deep learning model for characterizing altered gyro-sulcal functional connectivity in abstinent males with methamphetamine use disorder and associated emotional symptoms.

The order in speech disorder: a scoping review of state of the art machine learning methods for clinical speech classification

Leveraging LLMs for Mental Health: Detection and Recommendations from Social Discussions

Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation

From statistics to deep learning: Using large language models in psychiatric research.

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.

Autism Spectrum Disorder Detection Using Prominent Connectivity Features from Electroencephalography.

Virtual reality and artificial intelligence: the future of mental health. A narrative review.

Artificial Intelligence and the Future of Psychotherapy: A Medical Student Perspective.

A glance into the future of artificial intelligence-enhanced scalable personalized training: A response to Kopelovich, Brian, et al. (2025) and Kopelovich, Slevin, et al. (2025).

PsychBench: A comprehensive and professional benchmark for evaluating the performance of LLM-assisted psychiatric clinical practice

Hypergraph Multi-Modal Learning for EEG-based Emotion Recognition in Conversation

ProAI: Proactive Multi-Agent Conversational AI with Structured Knowledge Base for Psychiatric Diagnosis

FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework

Mixture of Experts for Recognizing Depression from Interview and Reading Tasks

DreamNet: A Multimodal Framework for Semantic and Emotional Analysis of Sleep Narratives

Efficient 4D fMRI ASD Classification using Spatial-Temporal-Omics-based Learning Framework

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