PHQ-8 Days: a measurement option for DSM-5 Major Depressive Disorder (MDD) severity
PulseAugur coverage of PHQ-8 Days: a measurement option for DSM-5 Major Depressive Disorder (MDD) severity — every cluster mentioning PHQ-8 Days: a measurement option for DSM-5 Major Depressive Disorder (MDD) severity across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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LLMs analyzed for depression symptom recognition and prediction · 3 sources tracked
Researchers are exploring how large language models (LLMs) can be used to understand and predict depression symptom severity. One study analyzed the internal activations of Gemma-3-27B-PT, finding that specific layers a…
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New Hierarchical Multi-Agent System Enhances Depression Detection
Researchers have developed HiMA-MDD, a novel hierarchical multi-agent system designed for interpretable multimodal depression detection in clinical interviews. This system organizes evidence gathering and assessment int…
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New AI framework enhances explainable depression recognition in clinical interviews
Researchers have developed Explain-MDRC, a novel framework for multimodal depression recognition in clinical interviews. This system aims to enhance interpretability by generating structured symptom summaries from text …
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New AI Model Predicts Depression Severity with Uncertainty Estimates
Researchers have developed PTTSD, a novel probabilistic framework designed to detect depression severity from clinical interview transcripts. This system utilizes LSTMs and self-attention mechanisms to predict PHQ-8 sco…
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Study reveals how individuals with depression use ChatGPT for informal support
A new study analyzed 187,093 ChatGPT conversations from 766 participants to understand how individuals with depressive symptoms use the AI. The research found that participants with higher depression scores (PHQ-8 of 10…
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New EmoTrack framework improves depression tracking from counseling transcripts
Researchers have developed EmoTrack, a new framework designed to more accurately track depression severity from counseling transcripts. This system combines signals extracted by large language models with semantic embed…
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AI tools enhance campus well-being via chatbots and mental health detection
Researchers have developed AI tools to improve campus well-being by enhancing feedback collection and mental health detection. TigerGPT, a chatbot, uses LLMs for personalized surveys, achieving high usability and satisf…