40 artifacts matching
A Framework for Evidence-Based Psychotherapy with AI (EBP-AI)
The authors propose EBP-AI, a named framework of eight principles for building clinical AI applications that produce durable change rather than momentary relief, paired with technical questions for d…
Independent Clinical Evaluation of General-Purpose LLM Responses to Signals of Suicide Risk
Conference paper from UL Research Institutes' Digital Safety group and Sentio University assessing whether a general-purpose open-weight model follows clinically derived guidelines for ethical commun…
AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation
Peer-reviewed version of record of the VERA-MH validation work: an open-source, fully automated AI safety evaluation for suicide risk detection and response in mental-health chatbot conversations. Si…
Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing
Peer-reviewed study testing whether aggregated expert judgment yields valid ground truth for training and evaluating AI systems in mental-health safety contexts. Three certified psychiatrists indepen…
Sensing but not alerting: ChatGPT mental health triage gaps in simulated psychodermatology conversations
Research letter testing whether ChatGPT recognises mental health concerns and recommends appropriate referral during simulated multi-turn psychodermatology conversations. Fifty first-person narrative…
Development of a Consensus Statement to Guide AI Chatbot Responses to Suicide Risk Disclosure
An online modified Delphi study producing the first consensus statement on how generative AI chatbots should respond when a user discloses suicide risk, together with taxonomies of the potential harm…
Patients are bringing AI to therapy (2026 Chatbots and Mental Health Survey)
Survey report from the American Psychological Association on licensed US psychologists' experiences of patients' AI chatbot use. Documents how often patients bring AI into therapy (self-diagnosis, tr…
Characterizing artificial intelligence (AI) psychosis in a large academic medical setting: evidence of the new clinical phenomenon and the vulnerability of those in early phases of psychosis
First systematic electronic-health-record characterization of "AI psychosis" in a clinical population: a chart review of psychosis patients at Vanderbilt University Medical Center whose records menti…
Detecting Patterns of Intimate Partner Violence Using Qualitative Analyses and Machine Learning Algorithms
Analyses 400 posts from women on intimate-partner-violence online forums using qualitative content analysis plus supervised text classification and unsupervised topic modelling. Classifies IPV subtyp…
AI Mental Health Apps (Common Sense Media Youth AI Safety Institute Risk Assessment)
Risk assessment of five AI mental health apps — three direct-to-consumer (Wysa, Earkick, Youper) and two deployed through school districts (Alongside, Sonar) — tested against an eight-principle rubri…
Large language models for psychosocial risk assessment: A multi-method evaluation across suicide, intimate partner violence, and substance misuse
A peer-reviewed, three-study evaluation of GPT-4 and Claude on detecting suicidality, intimate partner violence, and substance misuse from lived-experience vignettes, including a supervised multi-age…
Urgent considerations for suicide prevention in the safe and ethical use of artificial intelligence
A peer-reviewed commentary in the Canadian Medical Association Journal arguing that current AI governance and online-safety frameworks do not yet reflect suicide-prevention evidence, and setting out…
Beyond artificial intelligence psychosis: a functional typology of large language model-associated psychotic phenomena
Peer-reviewed paper proposing a functional typology of psychotic phenomena associated with large language model use, from the Beth Israel Deaconess Medical Center digital psychiatry group. Rather tha…
Are Natural Language Processing Tools Ready for Predicting Violence Toward Self or Others?
PRISMA systematic review of 21 eligible studies applying natural language processing to clinical text for predicting violence toward self or others. Assesses predictive performance and methodological…
Large Language Model–Based Chatbots and Agentic AI for Mental Health Counseling: Systematic Review of Methodologies, Evaluation Frameworks, and Ethical Safeguards
A systematic review synthesizing the methodologies, evaluation practices, and ethical/governance frameworks reported in studies of large language model chatbots and agentic AI used for mental-health…
Chatbot psychosis: moving beyond recognition to mechanistic understanding and harm reduction
An editorial in The British Journal of Psychiatry arguing that the 'chatbot psychosis' phenomenon is no longer merely hypothetical and calling for interdisciplinary frameworks to investigate the indi…
VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health
An open-source, clinically grounded automated evaluation of chatbot safety in mental-health contexts, with an initial focus on suicide risk. It uses language-model user simulators and an LLM judge sc…
AI Chatbots and Youth Mental Health: Practical Recommendations for Clinicians
A clinical commentary in the official journal of the American Academy of Child and Adolescent Psychiatry offering child- and adolescent-psychiatry clinicians practical guidance on assessing and respo…
Explainable AI for suicide risk detection: gender- and age-specific patterns from real-time crisis chats
A peer-reviewed study applying an explainable natural-language-processing method to 17,564 real-time text crisis-chat sessions from Sahar, an anonymous Israeli emotional-support and suicide-preventio…
Delusional Experiences Emerging From AI Chatbot Interactions or "AI Psychosis"
A peer-reviewed psychiatric commentary in JMIR Mental Health analyzing delusional experiences that emerge from AI chatbot use, sometimes termed 'AI psychosis.' It argues psychiatry must reconsider th…