Exploring Large Language Models for Detecting Mental Disorders
AIRI；ISP RAS Research Center for Trusted Artificial Intelligence（俄罗斯科学院信息与系统研究信任人工智能研究中心）；FRC CSC RAS（俄罗斯科学院应用数学与计算机科学研究所）；MIPT（米哈伊尔·伊万诺维奇·普京高等经济学院）；RUDN University（俄罗斯人民友谊大学）；MBZUAI（马斯喀特大学人工智能研究所）
Gleb Kuzmin, Petr Strepetov, Maksim Stankevich, Natalia Chudova, Artem Shelmanov, Ivan Smirnov
This paper compares the effectiveness of traditional machine learning methods, encoder-based models, and large language models (LLMs) on the task of detecting depression and anxiety. Five Russian-language datasets were considered, each differing in format and in the method used to define the target pathology class. We tested AutoML models based on linguistic features, several variations of encoder-based Transformers such as BERT, and state-of-the-art LLMs as pathology classification models. The results demonstrated that LLMs outperform traditional methods, particularly on noisy and small datasets where training examples vary significantly in text length and genre. However, psycholinguistic features and encoder-based models can achieve performance comparable to language models when trained on texts from individuals with clinically confirmed depression, highlighting their potential effectiveness in targeted clinical applications.
MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
Theta Health Inc.（西塔健康公司）；Chen Frontier Lab for AI and Mental Health, Tianqiao and Chrissy Chen Institute（天桥脑科学研究院陈天桥雒芊芊脑科学研究院AI与精神健康前沿实验室）；Shanghai Mental Health Center（上海市精神卫生中心）；Shanghai Jiao Tong University School of Medicine（上海交通大学医学院）；Shanghai Clinical Research Center for Mental Health（上海市精神疾病临床医学中心）；Shanghai Key Laboratory of Psychotic Disorders（上海市精神疾病重点实验室）
Few-Shot Learning for Mental Disorder Detection: A Continuous Multi-Prompt Engineering Approach with Medical Knowledge Injection
Hefei University of Technology（合肥工业大学）；Iowa State University（爱荷华州立大学）；University of Delaware（特拉华大学）；University of Rhode Island（罗德岛大学）；University of Arizona（亚利桑那大学）
Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case
Indian Institute of Research and Science, Bhopal（博帕尔印度研究与科学学院）；Indian Institute of Technology, Kharagpur（克勒格布尔印度理工学院）
MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis
School of Computer Science Chongqing University（重庆大学计算机学院）；MAIS Institute of Automation Chinese Academy of Sciences（中国科学院自动化研究所MAIS研究所）；The First Affiliated Hospital of Chongqing Medical University（重庆医科大学第一附属医院）
Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia
University of Illinois Chicago（伊利诺伊大学芝加哥分校）；National Institutes of Health（美国国立卫生研究院）；University of Pennsylvania（宾夕法尼亚大学）；University of California, San Diego（加利福尼亚大学圣迭戈分校）；University of Texas Dallas（德克萨斯大学达拉斯分校）；University of Miami（迈阿密大学）
A Conditional Companion: Lived Experiences of People with Mental Health Disorders Using LLMs
Center for Advanced Internet Studies Bochum Germany；Center for Advanced Internet Studies \& University of Wuppertal Bochum Germany；Center for Advanced Internet Studies；Center for Advanced Internet Studies \& University of Wuppertal
Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study
Indian Institute of Technology Delhi（印度理工学院德里分校）；Indraprastha Institute of Information Technology Delhi（英德拉普拉斯塔信息技术学院）；YourDOST；All India Institute of Medical Sciences, Rishikesh（全印医学科学学院里希盖什分校）；All India Institute of Medical Sciences, New Delhi（全印医学科学学院新德里分校）
MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory
Language Technologies Institute, Carnegie Mellon University（卡内基梅隆大学语言技术研究所）；Stony Brook University（石溪大学）；Aarhus University（奥胡斯大学）；Department of Psychology, Lund University（吕勒欧大学心理学系）；College of Connected Computing, Vanderbilt University（范德比尔特大学连接计算学院）
Patterns vs. Patients: Evaluating LLMs against Mental Health Professionals on Personality Disorder Diagnosis through First-Person Narratives
IDEAS Research Institute（IDEAS研究 institute）；Adam Mickiewicz University（亚当·密茨凯维奇大学）；AMU Center for Artificial Intelligence（AMU人工智能中心）；Poznań University of Medical Sciences（波兹南医学科学大学）；Maria Curie-Skłodowska University（玛丽·居里-斯克洛多夫斯卡大学）
XToM: Exploring the Multilingual Theory of Mind for Large Language Models
HKUST, Hong Kong（香港理工大学）；NVIDIA AI Technology Center (NVAITC), USA（NVIDIA AI技术中心（NVAITC））；Shanghai Jiao Tong University, China（上海交通大学）；Technische Universtität Darmstadt, Germany（德累斯顿技术大学）；LMU Munich, Germany（慕尼黑大学）；Munich Center for Machine Learning, Germany（慕尼黑机器学习中心）
AI-Driven Early Mental Health Screening: Analyzing Selfies of Pregnant Women
Federal Institute of Espírito Santo (IFES)（圣埃斯皮里图联邦学院）；École de Technologie Supérieure (ÉTS)（高等技术学院）；University of São Paulo Medical School (FMUSP)（圣保罗大学医学院）；Federal University of Espírito Santo (UFES)（圣埃斯皮里图联邦大学）；Federal University of Mato Grosso (UFMT)（马托格罗索联邦大学）
A Survey on Multilingual Mental Disorders Detection from Social Media Data
Università della Svizzera italiana（瑞士大学）；Interdisciplinary School of Doctoral Studies, University of Bucharest（布加勒斯特大学跨学科博士研究学院）；PRHLT Research Center, Universitat Politècnica de València（瓦伦西亚理工大学PRHLT研究中心）；George Mason University（乔治·梅森大学）；Lancaster University（兰卡斯特大学）
Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities
Ubiquitous Knowledge Processing Lab (UKP Lab) Department of Computer Science and Hessian Center for AI (hessian.AI) Technische Universität Darmstadt National Research Center for Applied Cybersecurity ATHENE, Germany（技术大学达姆施塔特应用网络安全国家研究中心、海森国家人工智能中心（hessian.AI）、计算机科学系、无处不在知识处理实验室（UKP Lab））；Department of Electrical Engineering, Indian Institute of Technology Delhi, India（印度德里印度理工学院电气工程系）；Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, India（印度德里印度理工学院人工智能学院）
Adapting Deep Learning Methods for Mental Health Prediction on Social Media
Heidelberg Institute for Theoretical Studies gGmbH（海德堡理论研究所股份有限公司(Heidelberg Institute for Theoretical Studies gGmbH)（注：gGmbH通常译为“股份有限公司”，但该机构可能为非营利性质，此处按原文直译））
A Comprehensive Review of Datasets for Clinical Mental Health AI Systems
Ubiquitous Knowledge Processing Lab (UKP Lab) Department of Computer Science and Hessian Center for AI (hessian.AI) Technische Universität Darmstadt（通用知识处理实验室（UKP Lab）计算机科学系和海斯赛中心（hessian.AI）德累斯顿技术大学）；National Research Center for Applied Cybersecurity ATHENE, Germany（应用网络安全国家研究中心ATHENE德国）；Department of Electrical Engineering, Indian Institute of Technology Delhi, India（电子工程系，印度德里印度理工学院）；Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, India（Yardi人工智能学院，印度德里印度理工学院）
