Harnessing multimodal approaches for depression detection using large language models and facial expressions
Detecting depression is a critical component of mental health diagnosis, and accurate
assessment is essential for effective treatment. This study introduces a novel, fully …
assessment is essential for effective treatment. This study introduces a novel, fully …
Unveiling Interpretability in Self-Supervised Speech Representations for Parkinson's Diagnosis
Recent works in pathological speech analysis have increasingly relied on powerful self-
supervised speech representations, leading to promising results. However, the complex …
supervised speech representations, leading to promising results. However, the complex …
Dementia and MCI Detection Based on Comprehensive Facial Expression Analysis From Videos During Conversation
The development of a cost-effective digital biomarker for detecting dementia is highly
needed. While numerous studies have explored dementia detection through speech and …
needed. While numerous studies have explored dementia detection through speech and …
DepITCM: an audio-visual method for detecting depression
L Zhang, Z Liu, Y Wan, Y Fan, D Chen, Q Wang… - Frontiers in …, 2025 - frontiersin.org
Introduction Depression is a prevalent mental disorder, and early screening and treatment
are crucial for detecting depression. However, there are still some limitations in the currently …
are crucial for detecting depression. However, there are still some limitations in the currently …
Diagnosis of depression based on facial multimodal data
N **, R Ye, P Li - Frontiers in Psychiatry, 2025 - frontiersin.org
Introduction Depression is a serious mental health disease. Traditional scale-based
depression diagnosis methods often have problems of strong subjectivity and high …
depression diagnosis methods often have problems of strong subjectivity and high …
On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook
Computational approaches to predicting mental health conditions in social media have been
substantially explored in the past years. Multiple surveys have been published on this topic …
substantially explored in the past years. Multiple surveys have been published on this topic …
Bidirectional Multimodal Block-Recurrent Transformers for Depression Detection
X Jia, X Zhao, B Tang, R Jiang - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Depression, as a prevalent and severe psychological disorder, has become a burden to
individuals, families and societies all over the world. Recently, some deep learning methods …
individuals, families and societies all over the world. Recently, some deep learning methods …
“Use your words”: Towards Gender Fairness for Multimodal Depression Detection
S Meyberg - 2024 - studenttheses.uu.nl
Depression is a prevalent mental health disorder affecting both patients and society. The
ability to identify at-risk individuals early, accurately, and without human intervention can be …
ability to identify at-risk individuals early, accurately, and without human intervention can be …