Depression Severity Estimation

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3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Language-model ratings of depression reflect the rater more than the patient

    Oct 6, 2026Baihan LinInter-Rater ReliabilityAnnotator Disagreement

    Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA · Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA · Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA +2

  2. Structure vs. Chain-of-Thought: Evaluating LLM Criteria Extraction for Depression Severity

    Sep 30, 2026Xinkai ChenDepression DetectionCoT Reasoning

    Independent Researcher

  3. MERID: Multimodal Exploration via Recursive Self-Improvement Agents for Major Depression Analysis

    Sep 28, 2026Lei Liu, Zhaokang Liang, Qingcheng Zeng +4Depression DetectionMultimodal Classification

    Yale University · Zhejiang University · Northwestern University +3

  4. Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms

    Sep 23, 2026Wenjie Feng, Sahba Zojaji, Satoshi NakamuraClinical Outcome PredictionDepression Severity Estimation

    School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China · School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China · Shenzhen Loop Area Institute, Shenzhen, China

  5. LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialogues

    Sep 3, 2026Jiayi Li, Zhaomin Wu, Bingsheng HeMental Health CounselingDepression Detection

    Department of Computer Science National University of Singapore

  6. The MADRS Pipeline: Supporting Depression Assessment in Clinical Trials

    Jul 30, 2026Mila Fodor, Katalin Ócsai, Francesco Periti +2Depression DetectionClinical Decision Support

    Clario, part of Thermo Fisher Scientific

  7. DynaBridge: Dynamic Summary-Guided Cross-Task Multimodal Fusion for DASS-Structured Mental Health Assessment

    Jul 28, 2026Shiyu Teng, Haichen Yu, Jiaqing Liu +6Medical DiagnosisDepression Severity Estimation

    College of Information Science and Engineering Ritsumeikan University Ibaraki, Osaka, Japan · College of Computer Science and Technology Zhejiang University Hangzhou, Zhejiang, China

  8. DS@GT ARC at eRisk 2026: Hybrid Multi-Agent LLM System with Structured Algorithmic Guidance for Conversational Depression Screening

    Jul 18, 2026Victor Gong, David GuechaMulti-Agent LLM SystemsDepression Detection

    Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332

  9. Expresso-AI: Explainable Video-Based Deep Learning Models for Depression Diagnosis

    Jun 24, 2026Felipe Moreno, Sharifa Alghowinem, Hae Won Park +1Depression DetectionNeural Network Interpretability

    Media Lab MIT Cambridge, USA

  10. A Multi-Agent Audit Framework for High-Stakes Reasoning: Evaluation and Interpretability in Clinical Mental Health Screening

    Jun 19, 2026Jingchen Ye, Yanpei Yu, Luyao ZhangLLM AuditingLLM Interpretability

    Duke Kunshan University Suzhou, China · Social Science Division and Digital Innovation Research Center, Duke Kunshan University, No.8 Duke Ave., Kunshan, Jiangsu 215316, China.

  11. Creating Multilingual Mental Health Dialogue Datasets: Limits of Persona-Based Localization via Nationality and Language

    Jun 17, 2026Yunkai Xu, Saeed AbdullahMultilingual Language Model EvaluationDepression Detection

    Pennsylvania State University, United States

  12. Reading between the Lines: Leveraging Large Language Models for Global Dementia and Depression Assessment from Clinical Interviews

    Jun 16, 2026Franziska Braun, Alea Rüggeberg, Thomas Ranzenberger +4Depression DetectionMental Health

    1TH Nürnberg · 2FAU Erlangen · 3PMU Klinikum Nürnberg, Germany

  13. Fine-tuning LLMs for Passive Depression Severity Estimation from AI Mental Health Dialogue

    Jun 16, 2026Olivier Tieleman, Ziyi Zhu, Ting Su +3Depression DetectionLLM Fine-Tuning

  14. Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care

    May 23, 2026Vassilis Lyberatos, Edmund G. Dervakos, Eleni Adamidi +2Depression DetectionMental Health

    1National Technical University of Athens, Athens, Greece · 2PsychNow

  15. EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimation

    May 21, 2026Zhaomin Wu, Jiayi Li, Bingsheng HeMental Health CounselingDepression Detection

    Department of Computer Science National University of Singapore

  16. 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 +2HealthcareMental 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

  17. ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms

    May 4, 2026Alexandria K. Vail, Marcelo Cicconet, Katie Aafjes-van Doorn +2Depression DetectionMental Health

    Deliberate Solutions, Inc. New York, New York, USA

  18. MA-DLE: Speech-based Automatic Depression Level Estimation via Memory Augmentation

    Apr 20, 2026Xuzhi Wang, Xinran Wu, Ziping Zhao +2Memory-Augmented Neural NetworksDepression Detection

    School of Computer and Information Engineering, Tianjin Normal University (TJNU), Tianjin 300387, China · Department of Automation, Tsinghua University, Beijing 100084, China · Chair of Health Informatics, Technical University of Munich, Munich, Germany +1

  19. EviDep: Uncertainty-Aware Multimodal Depression Estimation via Disentangled Evidential Learning

    Apr 17, 2026Fangyuan Liu, Sirui Zhao, Yangsong Zhang +5Disentangled Representation LearningEvidential Deep Learning

    School of Computer Science and Technology, University of Science and Technology of China, Hefei, China · aSchool of Computer Science and Technology, University of Science and Technology of China, Hefei, China · bSchool of Computer Science and Technology, Laboratory for Brain Science and Artificial Intelligence, Southwest University of Science and Technology, Mianyang, China +1

  20. "Mirror" Large Language Model Evaluations of Depression are Criterion Contaminated

    Date pendingTong Li, Rasiq Hussain, Mehak Gupta +1Depression DetectionMental Health

    Division of Computational & Data Sciences (DCDS), Washington University in St. Louis, St. Louis, MO · Department of Computer Science, SMU · Department of Psychological & Brain Sciences, Washington University in St. Louis