Mental Health

Latest papers 156

11 papers in the last four weeks, down 21% on the four weeks before. 0.1% of all new papers.

PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship
May 17, 2026Zhiyuan Wang, Ariful Islam, Indrajeet Ghosh +5Mental Health Multimodal Agents
Department of Systems and Information Engineering, University of Virginia, Charlottesville, Virginia, United States · Dept. of Systems and Information Engineering, University of Virginia, Charlottesville, Virginia, United States · Center for Behavioral Health and Technology, University of Virginia, Charlottesville, Virginia, United States +1
CBT-Audio: Evaluating Audio Language Models for Patient-Side Distress Intensity Estimation in CBT Session Recordings
May 17, 2026Qixuan Hu, Shuchang Ye, Xumou Zhang +8Audio-Language Model Evaluation Mental Health Counseling
School of Computer Science, Faculty of Engineering, University of Sydney, Australia · School of Psychology, Faculty of Science, University of Sydney, Australia · CHeBA (Centre for Healthy Brain Ageing), School of Clinical Medicine, Discipline of Psychiatry & Mental Health, The University of New South Wales, Australia +2
MHGraphBench: Knowledge Graph-Grounded Benchmarking of Mental Health Knowledge in Large Language Models
May 15, 2026Weixin Liu, Congning Ni, Shelagh A. Mulvaney +4LLM Evaluation Healthcare
Vanderbilt University, Nashville, TN, USA · Vanderbilt University Medical Center, Nashville, TN, USA · Virginia Tech, Blacksburg, VA, USA
MindGap: A Conversational AI Framework for Upstream Neuroplastic Intervention in Post-Traumatic Stress Disorder
May 14, 2026Eranga Bandara, Ross Gore, Asanga Gunaratna +16Mental Health Conversational Agents
Old Dominion University, Norfolk, VA, USA · AI Motion Labs, Melbourne, Australia · Department of Psychiatry and Neurobehavioral Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA +5
A Multi-Probe Audit of Clinical-Interview Depression Detection Benchmarks
May 13, 2026Takehiro Ishikawa, Jon DukeDepression Detection Mental Health
College of Computing, Georgia Institute of Technology, Atlanta, GA, USA · Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, GA, USA
VERA-MH: Validation of Ethical and Responsible AI in Mental Health
May 13, 2026Luca Belli, Kate H. Bentley, Josh Gieringer +6Healthcare Mental Health
Spring Health · Yale University
Simulating Eating Disorder Patients with LLMs: Evaluating Psychological Persona Stability in Multi-Turn Conversations
May 12, 2026Jennifer Haase, Jana Gonnermann-Müller, See Heng Yim +3Persona Consistency Personality Modeling in Language Models
Weizenbaum Institute, Berlin, Germany · HU Berlin, Berlin, Germany · Zuse Institute Berlin, Berlin, Germany +1
New AI-Driven Tools for Enhancing Campus Well-being: A Prevention and Intervention Approach
May 11, 2026Jinwen TangReinforcement Learning Depression Detection
University of Missouri-Columbia[cs.AI]
Speech-based Psychological Crisis Assessment using LLMs
May 11, 2026Terumi Chiba, Yang Luo, Ziyun Cui +2Mental Health Speech Language Models
Tsinghua University, Beijing, China · Peking University Huilongguan Clinical Medical School, Beijing, China · WHO Collaborating Centre for Research and Training in Suicide Prevention
Voice Biomarkers for Depression and Anxiety
May 11, 2026Oleksii Abramenko, Noah D. Stein, Colin VazAudio Representation Learning Depression Detection
machine learning team at Kintsugi Mindful Wellness, Inc.
UTS at PsyDefDetect: Multi-Agent Councils and Absence-Based Reasoning for Defense Mechanism Classification
May 10, 2026Dima Galat, Marian-Andrei RizoiuMulti-Agent LLM Systems Mental Health
University of Technology Sydney
Can We Trust LLMs for Mental Health Screening? Consistency, ASR Robustness, and Evidence Faithfulness
May 10, 2026Erfan Loweimi, Sofia de la Fuente Garcia, Samira Loveymi +2Healthcare Mental Health
Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK · Department of Computer Engineering, Ahvaz Campus, Islamic Azad University, Ahvaz, Iran · School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
Mental Health AI Safety Claims Must Preserve Temporal Evidence
May 9, 2026Srimonti Dutta, Ratna KandalaHealthcare Mental Health
WAI USA Research Labs · Texas, USA · University of Kansas +1
Ask Before You Diagnose: Safe-Psych, a Sequential Evaluation Benchmark for LLMs in Psychiatry
May 6, 2026Oriana Presacan, Andreea Grama, Larisa Irimină +6Selective Prediction Healthcare
National University of Science and Technology Politehnica Bucharest · Psychiatric Hospital Doctor Gheorghe Preda · Oslo Metropolitan University +3
Quantifying the human visual exposome with vision language models
May 5, 2026Christian Rominger, Andreas R. Schwerdtfeger, Malay Gaherwar Singh +5Mental Health
University of Graz · Health Psychology, University of Graz, Graz, Austria · TU Dresden +5
Auditing Stealth Sycophancy in Mental-Health Dialogue: Structured Clinical-State Diagnostics and Clean Matched Benchmarks
May 5, 2026Tianze Han, Beining Xu, Hanbo Zhang +1Mental Health Counseling LLM Sycophancy
Shenzhen MSU-BIT University, Shenzhen, China
Can AI Help You Get Over Your Breakup? One Session with a Belief-Reframing Chatbot Shows Sustained Distress Reduction
May 5, 2026Thomas Menzel, Michel Schimpf, Thomas BohnéEmotional Support Conversation Mental Health
Technical University of Munich, Germany · University of Cambridge, United Kingdom
ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms
May 4, 2026Alexandria K. Vail, Marcelo Cicconet, Katie Aafjes-van Doorn +2Depression Detection Mental Health
Deliberate Solutions, Inc. New York, New York, USA
Multi-Level Narrative Evaluation Outperforms Lexical Features for Mental Health
Apr 30, 2026Yuxi Ma, Jieming Cui, Muyang Li +6Document Understanding Depression Detection
Institute for Artificial Intelligence, Peking University · School of Psychological and Cognitive Sciences, Peking University · School of Intelligence Science and Technology, Peking University +3
SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling
Apr 29, 2026Eliya Naomi Aharon, Meytal Grimland, Avi Segal +4Mental Health Counseling Mental Health
Ben-Gurion University of the Negev Beer Sheva, Israel · University of Haifa Haifa, Israel · Sahar Tel Aviv, Israel
Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection
Apr 29, 2026Himadri S SamantaDepression Detection Mental Health
Independent Researcher, Austin, Texas, USA
Single-turn emergency psychiatric triage across 15 frontier AI chatbots
Apr 28, 2026Veith Weilnhammer, Lennart Luettgau, Christopher Summerfield +5Healthcare Clinical Triage
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK · UK AI Security Institute · Department of Experimental Psychology, University of Oxford, Oxford, UK +2
Learning Evidence of Depression Symptoms via Prompt Induction
Apr 27, 2026Eliseo Bao, Anxo Perez, David Otero +1Depression Detection Mental Health
IRLab, CITIC, Universidade da Coruña A Coruña, Spain
K-SENSE: A Knowledge-Guided Self-Augmented Encoder for Neuro-Semantic Evaluation of Mental Health Conditions on Social Media
Apr 26, 2026Vijay YadavSocial Media Analysis Knowledge Augmentation for Language Models
School of Psychology, University of New South Wales Sydney, Australia
A Benchmark Suite of Reddit-Derived Datasets for Mental Health Detection
Apr 25, 2026Khalid Hasan, Jamil SaquerMedical Diagnosis Mental Health
Missouri State University, Springfield, MO, USA
AI Safety Training Can be Clinically Harmful
Apr 25, 2026Suhas BN, Andrew M. Sherrill, Rosa I. Arriaga +2Mental Health Counseling LLM Alignment
College of Information Sciences and Technology, Penn State University, USA · Department of Psychiatry and Behavioral Sciences, Emory University, USA · School of Interactive Computing, Georgia Tech, USA +1
Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems
Apr 24, 2026Meghana Karnam, Ananya JoshiAI Agent Reliability Multi-Agent LLM Systems
Johns Hopkins University Baltimore, USA
Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake
Apr 23, 2026Guan Gui, Peter Zandi, Jacob Taylor +1Healthcare Mental Health
Johns Hopkins University
Reliability Auditing for Downstream LLM tasks in Psychiatry: LLM-Generated Hospitalization Risk Scores
Apr 23, 2026Shevya Panda, Shinjini Bose, Ananya JoshiPrompt Sensitivity LLM Auditing
Johns Hopkins University Baltimore, USA
Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs
Apr 22, 2026Aishik Mandal, Hiba Arnaout, Clarissa W. Ong +5Mental Health Counseling Mental Health
UKP Lab, Department of Computer Science and Hessian Center for AI (hessian.AI), Technische Universität Darmstadt · Zuse School · National Research Center for Applied Cybersecurity ATHENE +4

May 17, 2026J/K move · Enter open · S save

PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship

Zhiyuan Wang, Ariful Islam, Indrajeet Ghosh, Xinyu Chen+4

Department of Systems and Information Engineering, University of Virginia, Charlottesville, Virginia, United States · Dept. of Systems and Information Engineering, University of Virginia, Charlottesville, Virginia, United States · Center for Behavioral Health and Technology, University of Virginia, Charlottesville, Virginia, United States+1

Mental Health Multimodal Agents

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Cancer survivors face elevated rates of depression, anxiety, and general emotional distress, yet the precise moments they most need support are often the moments when self-report is sparse, a phenomenon we term the diary paradox. Passive smartphone sensing offers a continuous, unobtrusive alternative, but prior sensing-based affect prediction has been limited by an accuracy ceiling, suggesting a bottleneck not only in available data, but in how behavioral signals are interpreted. We present PULSE, a system that shifts from fixed feature pipelines to agentic sensing investigation: LLM agents equipped with eight purpose-built tools autonomously query smartphone sensing data, compare current behavior against personalized baselines, and calibrate inferences through retrieval-augmented population-level comparisons. Rather than receiving pre-formatted feature summaries, agents decide which modalities to inspect, how far back to look, and how deeply to investigate, mirroring hypothesis-driven clinical reasoning. We evaluate PULSE through a 2*2 factorial design crossing reasoning architecture (structured vs. agentic) with data modality (sensing-only vs. with diary) on 50 cancer survivors from a longitudinal study of cancer survivors. Agentic reasoning is the primary driver of performance: agentic multimodal agent achieves balanced accuracy of 0.743 for emotion regulation desire with diary and sensing data, while agentic agents predict intervention availability at 0.713 with passive sensing data only. These results suggest that agentic investigation may be a cornerstone for unlocking the clinical value of passive sensing, advancing the feasibility of proactive just-in-time mental health support.