99 artifacts matching
Preprint
Detecting Suicide Risk with AI Chatbots: Real-World Performance Within a Clinically Supervised Workflow
A retrospective cohort study by Spring Health evaluates an LLM-based safety agent (gpt-4o, prompted with C-SSRS and SAFE-T frameworks) that classifies suicide risk into four levels during a five-minu…
Preprint
From Symptom Networks to Conversation Networks: A Cross-Sectional Study Mapping the Topology of Suicide-Related Clinical Dialogue
The study applies network analysis to suicide-related content in 110 German-language psychotherapy interview transcripts from the SPEAK-SAFE study. The open-weights Qwen3-32B model classified utteran…
Preprint
Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT
Mixed-methods study of how young adults aged 18 to 25 use ChatGPT when distressed, built on complete donated ChatGPT histories (19,930 conversations from 158 participants) plus a survey that included…
Preprint
Medical Knowledge Is Not All You Need: When Medical Q&A Becomes Situated Patient Assistance
Study of the questions skin cancer patients asked a voice assistant while practising postoperative wound care, followed by an offline replay of those questions to general-purpose language models. Man…
Peer-reviewed
Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessions
Compares session-level behaviour of human peer counsellors and an LLM counsellor trained on the same single-session CBT manual. An 18-month ethnography on a peer-support platform (seven counsellors,…
Framework
Preparing AI chatbots to respond to patient distress and suicidality in high-risk healthcare settings
Comment describing the suicide-risk and distress safety architecture built for 'Suzy', a generative AI chatbot offering recovery, wellness and local-resource support to adults receiving medication tr…
Preprint
Can LLMs identify and repair ruptures? Comparison between clinician practices and LLM behaviors
Scenario-driven study of how three LLMs (ChatGPT 5.4 Thinking, Claude Sonnet 4.6 Extended Thinking, Gemini 3 Thinking) identify and resolve therapeutic-alliance ruptures across 21 mental-health conve…
Peer-reviewed
Problematic Reliance on Generative AI in an Anxious Young Adult: Case Report
Psychiatric case report of a woman in her mid-20s with generalized anxiety disorder and major depressive disorder, previously high-functioning, who developed functional dependence on ChatGPT for comp…
Framework
The AWARE (AI Use, Why, Attachment, Reality and Risk, and Effect on Functioning) Framework for Assessing Patients' Use of AI in Mental Health Care
Viewpoint introducing AWARE, an educational framework for mental-health professionals to assess patients' use of conversational AI during routine clinical encounters. It structures psychiatric interv…
Peer-reviewed
Artificial Intelligence at the Boundary of Spiritual Experience and Psychopathology: A Scoping Review of Evidence from Turkiye, the USA, the UK, Poland, South Korea, and Israel
A PRISMA-ScR scoping review mapping how AI mediates, reinforces, detects or interprets religious and spiritual experience at the boundary with psychosis and dissociation. Five databases were searched…
Peer-reviewed
Real-world use and evaluation of a generative AI chatbot for Parkinson's disease information: a prospective observational study
Prospective, conversation-level evaluation of jAImes, a retrieval-augmented Parkinson's disease information chatbot commissioned by Parkinson Stiftung Deutschland and deployed publicly in Germany, ac…
Peer-reviewed
Safety, efficacy and acceptability of human-GenAI single-session exposure-based intervention for academic anxiety: randomized controlled trials
Two preregistered randomized controlled trials (N = 425 in total) of a hybrid human-generative-AI single-session exposure program for academic anxiety, evaluated against waitlist and active controls.…
Peer-reviewed
The effects of artificial intelligence-based chatbots on mental health: A systematic review and three-level meta-analysis
Systematic review across seven databases identifying 16 eligible studies of AI-based chatbot interventions for mental health, pooled with a three-level random-effects meta-analysis over 67 effect siz…
Benchmark / dataset
Scaling Clinical Judgment to Evaluate Medical AI
Introduces PrecepTron, a 32-billion-parameter model fine-tuned with low-rank adaptation on a small number of physician examples to grade open-ended clinical-reasoning responses at physician level, an…
Peer-reviewed
Temporal and cross-site validation of an AI system for self-harm detection
A prospective and external validation of a self-harm detection system built on emergency-department triage notes, testing how far it travels in time and across hospitals. The model was developed on 2…
Preprint
The widening evaluation gap in medical large language model research 2023 to 2026
A bibliometric analysis of 11,628 PubMed records on medical large language models from January 2023 to June 2026 across fourteen clinical domains, asking whether clinical evidence keeps pace with the…
Government report
National Commission into the Regulation of AI in Healthcare: Recommendations for a future regulatory framework
Final report of the UK National Commission into the Regulation of AI in Healthcare, established in September 2025 to advise government on a regulatory framework for software and AI-enabled health tec…
Preprint
Randomized Trial of AI-Powered Mental Health Support Embedded in University Academic Infrastructure
A preregistered six-week randomized controlled trial of Flourish, an LLM-based mental-health support app, offered to 1,137 undergraduates through their university's academic infrastructure rather tha…
Peer-reviewed
Stakeholder perspectives on artificial intelligence in schizophrenia care
A qualitative focus-group study at a New York City academic health centre reporting how people with schizophrenia spectrum disorders, their caregivers and their providers view AI chatbots as a possib…
Preprint
Scalable Oversight for AI in Mental Health: Lessons from 350,000 AI Coaching Conversations between Therapy Sessions
Deployment report from Grow Therapy, a US behavioural-health company whose network of more than 25,000 licensed clinicians offers clients an AI coaching tool for use between therapy sessions. Drawing…