Latest AI and machine learning research in psychiatry for healthcare professionals.
The increasing demand for mental health services has highlighted the need for innovative solutions, particularly in the realm of psychological conversational AI, where the availability of sensitive data is scarce. In this work, we explored the development of a system tailored for mental health support with a novel approach to psychological assessment based on explainable emotional profiles in co...
In this study, we focus on automated approaches to detect depression from clinical interviews using multi-modal machine learning (ML). Our approach differentiates from other successful ML methods such as context-aware analysis through feature engineering and end-to-end deep neural networks for depression detection utilizing the Distress Analysis Interview Corpus. We propose a novel method that i...
Depression is a global health concern with a critical need for increased patient screening. Speech technology offers advantages for remote screening...
This study proposes an approach to describing personality dynamics through mathematical modelling of introversion, extroversion, and ambiversion pro...
Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, making accurate and objective diagnosis challenging w...
As social changes accelerate, the incidence of psychosomatic disorders has significantly increased, becoming a major challenge in global health issu...
Anxiety and depression are the most common mental health issues worldwide, affecting a non-negligible part of the population. Accordingly, stakehold...
This study explores the use of Large language models to analyze therapist remarks in a psychotherapeutic setting. The paper focuses on the applicati...
Artificial intelligence-based language generators are now a part of most people's lives. However, by default, they tend to generate "average" langua...
Major depressive disorder (MDD) is one of the most common mental disorders, with significant impacts on many daily activities and quality of life. I...
Recent advancements in NLP have spurred significant interest in analyzing social media text data for identifying linguistic features indicative of m...
BACKGROUND AND HYPOTHESIS: Schizophrenia (SZ) is a prevalent mental disorder that imposes significant health burdens. Diagnostic accuracy remains chal...
As one of the most promising alternatives to internal combustion engine vehicles, battery electric vehicles (BEVs) have become increasingly prevalen...
Left-behind children (LBCs), numbering over 66 million in China, face severe mental health challenges due to parental migration for work. Early scre...
Neurodevelopmental disorders (NDDs) cover a variety of conditions, including autism spectrum disorder, attention-deficit/hyperactivity disorder, and...
Eating disorders (ED) are complex mental health conditions that require long-term management and support. Recent advancements in large language mode...
Artificial Intelligence (AI) is a broad field that is upturning mental health care in many ways, from addressing anxiety, depression, and stress to ...
Large Language Models (LLMs) are transforming mental health care by enhancing accessibility, personalization, and efficiency in therapeutic interven...
Introduction: Global burden of sexually transmitted infections (STIs) is rising out of proportion to specialists. Current chatbots like ChatGPT are ...
Major depressive disorder is a prevalent and serious mental health condition that negatively impacts your emotions, thoughts, actions, and overall p...