PHQ-9
PulseAugur coverage of PHQ-9 — every cluster mentioning PHQ-9 across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
-
New NLP Psychometrics method analyzes LLM mental health predictions
A new research paper introduces "NLP Psychometrics," a method for analyzing what natural language processing models measure when predicting mental health outcomes. This approach treats text-based psychological predictio…
-
AssemblyAI details AI scribe for therapy notes
AssemblyAI has detailed a method for constructing an AI scribe capable of generating progress notes from therapy sessions. The process involves accurate clinical transcription, distinguishing between the therapist and p…
-
New benchmark Psych-ECA evaluates synthetic control arms in psychiatry trials
Researchers have introduced Psych-ECA, a new benchmark designed to evaluate methods for creating synthetic control arms in psychiatric drug development. This benchmark addresses the need for evaluating accuracy, uncerta…
-
WPG-MoE framework enhances social media depression detection using LLMs · 2 sources tracked
Researchers have developed WPG-MoE, a novel framework utilizing a large language model (LLM) backbone to improve depression detection from social media data. This system employs a weak-prior-guided dense mixture-of-expe…
-
New AI framework enhances multi-dimensional mental health assessment
Researchers have developed PsyBridge, a novel hybrid intelligent framework aimed at improving multi-dimensional mental health assessment. This framework integrates established screening tools like PHQ-9 and GAD-7 with c…
-
AI models estimate depression severity from mental health dialogues
Researchers have developed a method to estimate depression severity using conversational data from AI mental health applications. By fine-tuning a Qwen3.5-27B model and augmenting it with pseudolabels generated by Claud…