Psychiatry

Exploring Self-Supervised Models for Depressive Disorder Detection: A Study on Speech Corpora.

Automatic detection of depressive disorder from speech signals can help improve medical diagnosis re...

Dynamic multi-hypergraph structure learning for disease diagnosis on multimodal data.

With its superior capability in complex data modeling, hypergraph computation is a powerful tool for...

Physical, Social and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device.

Anxiety is a prevalent and detrimental mental health condition affecting young adults, particularly ...

Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning Approach.

The diagnosis of schizophrenia (SZ) can be challenging due to its diverse symptom presentation. As s...

Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning Algorithm.

Suicide poses a global health crisis with significant social and economic impact. Prevention may be ...

A Sentiment Pre-trained Text-Guided Multimodal Cross-Attention Transformer for Improved Depression Detection.

Depression is a widespread mental health issue requiring efficient automated detection methods. Trad...

Personalised Speech-Based PTSD Prediction Using Weighted-Instance Learning.

Post-traumatic stress disorder (PTSD) is a prevalent disorder that can develop in people who have ex...

Acute Stress Disorder Detection using Machine Learning based on resting-state fMRI.

Early diagnosis of Acute Stress Disorder (ASD) is important, given its potential progression to post...

Neurodevelopmental disorders modeling using isogeometric analysis, dynamic domain expansion and local refinement

Neurodevelopmental disorders (NDDs) have arisen as one of the most prevailing chronic diseases wit...

FacePsy: An Open-Source Affective Mobile Sensing System -- Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings

Depression, a prevalent and complex mental health issue affecting millions worldwide, presents sig...

Pervasive Technology-Enabled Care and Support for People with Dementia: The State of Art and Research Issues

Dementia is a mental illness that people live with all across the world. No one is immune. Nothing...

Revolutionizing Mental Health Support: An Innovative Affective Mobile Framework for Dynamic, Proactive, and Context-Adaptive Conversational Agents

As we build towards developing interactive systems that can recognize human emotional states and r...

Brain states analysis of EEG predicts multiple sclerosis and mirrors disease duration and burden

Background: Any treatment of multiple sclerosis should preserve mental function, considering how c...

Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images

Schizophrenia is a debilitating, chronic mental disorder that significantly impacts an individual'...

Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging

Neural networks, whice have had a profound effect on how researchers study complex phenomena, do s...

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study

INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-a...

Speech-based Clinical Depression Screening: An Empirical Study

This study investigates the utility of speech signals for AI-based depression screening across var...

Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia.

STUDY OBJECTIVES: The standard of care for military personnel with insomnia is cognitive behavioral ...

[New Technology, Warm Care: Social Robots in Nursing Practice and Research].

Recent, rapid advancements in technology have enabled the introduction and integration of robots int...

Taming the chaos ?! - part 2: limitations of using eXplainable Artificial Intelligence (XAI) to tackle the complexity in psychotherapy of children and adolescents.

RELATIONAL DIMENSION VERSUS ARTIFICIAL INTELLIGENCE.

Thirty years ago, we proposed the similarity between the functioning of artificial intelligence and ...