Psychiatry

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

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Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder

For the early identification, diagnosis, and treatment of mental health illnesses, the integration...

Depression detection from Social Media Bangla Text Using Recurrent Neural Networks

Emotion artificial intelligence is a field of study that focuses on figuring out how to recognize ...

Real-Time Prediction for Athletes' Psychological States Using BERT-XGBoost: Enhancing Human-Computer Interaction

Understanding and predicting athletes' mental states is crucial for optimizing sports performance....

'Debunk-It-Yourself': Health Professionals' Strategies for Responding to Misinformation on TikTok

Misinformation is "sticky" in nature, requiring a considerable effort to undo its influence. One s...

Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models

Mental health has increasingly become a global issue that reveals the limitations of traditional c...

An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques

This paper introduces an innovative approach to Attention-deficit/hyperactivity disorder (ADHD) di...

If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World

Loneliness, or the lack of fulfilling relationships, significantly impacts a person's mental and p...

Detection of suicidality from medical text using privacy-preserving large language models.

BACKGROUND: Attempts to use artificial intelligence (AI) in psychiatric disorders show moderate succ...

Dec 2024 39497458
Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study.

INTRODUCTION: Globally, many people experience mental health difficulties, and the current workforce...

Dec 2024 39587845
A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data.

Multimodal neuroimaging is an emerging field that leverages multiple sources of information to diagn...

Dec 2024 39600159
Multi-target neural network model of anxiolytic activity of chemical compounds using correlation convolution of multiple docking energy spectra.

Anxiety disorders are one of the most common mental health pathologies in the world. They require se...

Dec 2024 39718106
AI-assisted summary of suicide risk Formulation

Background: Formulation, associated with suicide risk assessment, is an individualised process tha...

AI Foundation Models for Wearable Movement Data in Mental Health Research

Pretrained foundation models and transformer architectures have driven the success of large langua...

Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach.

Major depressive disorder (MDD) is a severe psychiatric disorder that currently lacks any objective ...

Nov 2024 39592240
Primary care research on hypertension: A bibliometric analysis using machine-learning.

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical con...

Nov 2024 39809211
A Multi-Label EEG Dataset for Mental Attention State Classification in Online Learning

Attention is a vital cognitive process in the learning and memory environment, particularly in the...

Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry

With the growing interest in using AI and machine learning (ML) in medicine, there is an increasin...

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