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Introduces Empath, a framework for analyzing emotion dynamics in crisis counseling dialogues, applied to grief discussions with Black texters, revealing patterns like persistent negative affect and gradual hope transitions.
MIT researchers developed a language-processing tool that uses text analysis to estimate suicide risk, published in the Journal of Psychopathology and Clinical Science with potential applications in crisis counseling.
MentalHealthBench is designed to cover the full spectrum of mental health conversations for AI, from everyday support to acute crisis scenarios, as announced by OpenAI.
OpenAI introduces MentalHealthBench, an open benchmark for evaluating AI responses in mental health conversations, co-created with over 80 mental health experts to measure safety, context, agency, and guidance.
The Poitras family has donated $10 million to MIT's McGovern Institute to establish 50 two-year fellowships for early-career scientists studying psychiatric disorders, aiming to support talent in mental health research.
The article explores how voices in one's head, such as auditory hallucinations, are being reframed as beneficial features in technological and psychological contexts.
Australia achieved a world-first breakthrough by allowing MDMA and psilocybin for psychiatric treatment, and this podcast episode explores how it happened and lessons for other countries.
This paper introduces the COPES dataset and a three-axis evaluation framework to assess LLM alignment with community perspectives for mental health support, showing that fine-tuning improves alignment but with heterogeneous effects across subreddits and coping strategies.
This paper compares fine-tuned and frontier models for anxiety detection on social media, revealing that lexical dependence can inflate performance metrics and that domain-adapted models can rival larger commercial models in capability.
This survey paper reviews the application of large language models in mental health, tracing their evolution from basic pattern recognition tools to sophisticated personalized companions.
The article discusses recent suicides at IISc Bengaluru and mental health struggles among students at IITB, raising concerns about wellbeing in Indian tech education institutions.
CliniCIRCA is a multi-stage LLM framework for reconstructing longitudinal mental health patient journeys from unstructured EHR narratives, achieving temporal classification without event-level timestamps and using clinician-in-the-loop evaluation for verification.
Ask A Monk is a digital platform where humans provide answers without AI, offering a space for anonymous support and connection among strangers.
A study found that emergency department visits for gambling disorders nearly doubled in Ontario after the expansion of online gambling, particularly among young men, indicating increased harm from legalized sports betting.
A new wearable headset by Flow Neuroscience is now available in the US for treating depression, offering low-intensity electrical stimulation to the brain as an alternative to medication.
A tweet by Nikita Bier criticizes Instagram Stories for showcasing only positive outcomes without the process, potentially harming mental health.
The paper introduces ePID, a scalable pipeline using supervised embeddings to compute partial information decomposition for symptom networks, enabling the separation of redundant and synergistic information in mental health data.
The article argues for strict regulation or banning of AI companions in romantic contexts due to concerns about real-life relationship breakdowns and mental health issues, as illustrated by a personal anecdote.
The article critiques the harmful mental health effects of extreme AI doomerism, arguing that apocalyptic rhetoric increases anxiety and discourages long-term planning, particularly for young people.
The article explores the concept of using AI clones or twins of therapists in mental health therapy, questioning the efficacy and ethical implications of such technology.