23 citations · 28 across the 4 of their papers we have counts for
7 papers
One-shot emergency psychiatric triage across 15 frontier AI chatbots
Veith Weilnhammer, Lennart Luettgau, Christopher Summerfield +4
AI chatbots are increasingly used for health advice, but their performance in psychiatric triage remains undercharacterized. Psychiatric triage is particularly challenging because…
Technological folie à deux: Feedback Loops Between AI Chatbots and Mental Illness
Sebastian Dohnány, Zeb Kurth-Nelson, Eleanor Spens +6
Artificial intelligence chatbots have achieved unprecedented adoption, with millions now using these systems for emotional support and companionship in contexts of widespread socia…
How people use Copilot for Health
Beatriz Costa-Gomes, Pavel Tolmachev, Eloise Taysom +15
We analyze over 500,000 de-identified health-related conversations with Microsoft Copilot from January 2026 to characterize what people ask conversational AI about health. We devel…
A clinically validated framework for auditing AI chatbot behavior in mental health interactions
Veith Weilnhammer, Kevin YC Hou, Lennart Luettgau +3
Millions of users turn to consumer AI chatbots to discuss emotional, behavioral, and mental-health concerns, creating an urgent need for rigorous and scalable safety evaluations. H…
A multimodal Bayesian Network for symptom-level depression and anxiety prediction from voice and speech data
Agnes Norbury, George Fairs, Alexandra L. Georgescu +3
During psychiatric assessment, clinicians observe not only what patients report, but important nonverbal signs such as tone, speech rate, fluency, responsiveness, and body language…
Charting trajectories of human thought using large language models
Matthew M Nour, Daniel C McNamee, Isaac Fradkin +1
Language provides the most revealing window into the ways humans structure conceptual knowledge within cognitive maps. Harnessing this information has been difficult, given the cha…