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Mental illness remains one of the most critical public health issues. Despite its importance, many mental health professionals highlight a disconnect between their training and actual real-world patient practice. To help bridge this gap, we…

The diagnosis of most mental disorders, including psychiatric evaluations, primarily depends on dialogues between psychiatrists and patients. This subjective process can lead to variability in diagnoses across clinicians and patients,…

Large Language Models (LLMs) offer promising opportunities to support mental healthcare workflows, yet they often lack the structured clinical reasoning needed for reliable diagnosis and may struggle to provide the emotionally attuned…

人工智能 · 计算机科学 2026-04-20 Yuqi Wu , Guangya Wan , Jingjing Li , Shengming Zhao , Lingfeng Ma , Tianyi Ye , Ion Pop , Yanbo Zhang , Jie Chen

The advent of Large Language Models (LLMs) offers potential solutions to address problems such as shortage of medical resources and low diagnostic consistency in psychiatric clinical practice. Despite this potential, a robust and…

计算与语言 · 计算机科学 2025-06-19 Shuyu Liu , Ruoxi Wang , Ling Zhang , Xuequan Zhu , Rui Yang , Xinzhu Zhou , Fei Wu , Zhi Yang , Cheng Jin , Gang Wang

Mental health disorders are rising worldwide. However, the availability of trained clinicians has not scaled proportionally, leaving many people without adequate or timely support. To bridge this gap, recent studies have shown the promise…

计算与语言 · 计算机科学 2025-08-19 Aishik Mandal , Prottay Kumar Adhikary , Hiba Arnaout , Iryna Gurevych , Tanmoy Chakraborty

The shortage of clinical workforce presents significant challenges in mental healthcare, limiting access to formal diagnostics and services. We aim to tackle this shortage by integrating a customized large language model (LLM) into the…

计算与语言 · 计算机科学 2025-05-02 Sichang Tu , Abigail Powers , Natalie Merrill , Negar Fani , Sierra Carter , Stephen Doogan , Jinho D. Choi

The demand for psychological counselling has grown significantly in recent years, particularly with the global outbreak of COVID-19, which has heightened the need for timely and professional mental health support. Online psychological…

计算与语言 · 计算机科学 2023-09-04 Tin Lai , Yukun Shi , Zicong Du , Jiajie Wu , Ken Fu , Yichao Dou , Ziqi Wang

South Africa's escalating mental health crisis, compounded by limited access to culturally responsive care, calls for innovative and contextually grounded interventions. While large language models show considerable promise for mental…

人工智能 · 计算机科学 2026-01-13 Sontaga G. Forane , Absalom E. Ezugwu , Kevin Igwe , Karen van den Berg

The global mental health crisis is looming with a rapid increase in mental disorders, limited resources, and the social stigma of seeking treatment. As the field of artificial intelligence (AI) has witnessed significant advancements in…

计算与语言 · 计算机科学 2023-11-27 Neo Christopher Chung , George Dyer , Lennart Brocki

Mental health is a growing global concern, prompting interest in AI-driven solutions to expand access to psychosocial support. \emph{Peer support}, grounded in lived experience, offers a valuable complement to professional care. However,…

人机交互 · 计算机科学 2026-04-10 Kellie Yu Hui Sim , Roy Ka-Wei Lee , Kenny Tsu Wei Choo

Large Language Models (LLMs) are increasingly utilized for mental health support; however, current safety benchmarks often fail to detect the complex, longitudinal risks inherent in therapeutic dialogue. We introduce an evaluation framework…

计算与语言 · 计算机科学 2026-03-06 Ian Steenstra , Paola Pedrelli , Weiyan Shi , Stacy Marsella , Timothy W. Bickmore

Training mental health clinicians to conduct standardized clinical assessments is challenging due to a lack of scalable, realistic practice opportunities, which can impact data quality in clinical trials. To address this gap, we introduce a…

人机交互 · 计算机科学 2025-12-30 Veronica Bossio Botero , Vijay Yadav , Jacob Ouyang , Anzar Abbas , Michelle Worthington

In the contemporary landscape of social media, an alarming number of users express negative emotions, some of which manifest as strong suicidal intentions. This situation underscores a profound need for trained psychological counselors who…

Objectieve:This review aims to deliver a comprehensive analysis of Large Language Models (LLMs) utilization in mental health care, evaluating their effectiveness, identifying challenges, and exploring their potential for future application.…

The development of large language models (LLMs) has brought unprecedented possibilities for artificial intelligence (AI) based medical diagnosis. However, the application perspective of LLMs in real diagnostic scenarios is still unclear…

计算与语言 · 计算机科学 2024-05-21 Zhoujian Sun , Cheng Luo , Ziyi Liu , Zhengxing Huang

Large language models (LLMs) hold significant potential for mental health support, capable of generating empathetic responses and simulating therapeutic conversations. However, existing LLM-based approaches often lack the clinical grounding…

计算与语言 · 计算机科学 2025-11-04 He Hu , Yucheng Zhou , Juzheng Si , Qianning Wang , Hengheng Zhang , Fuji Ren , Fei Ma , Laizhong Cui , Qi Tian

Mental disorders are clinically significant patterns of behavior that are associated with stress and/or impairment in social, occupational, or family activities. People suffering from such disorders are often misjudged and poorly diagnosed…

机器学习 · 计算机科学 2025-09-03 Abu Shad Ahammed , Sayeri Mukherjee , Roman Obermaisser

Psychological counseling faces huge challenges due to the growing demand for mental health services and the shortage of trained professionals. Large language models (LLMs) have shown potential to assist psychological counseling, especially…

人工智能 · 计算机科学 2025-07-28 Yigui Feng , Qinglin Wang , Ke Liu , Xinhai Chen , Bo Yang , Jie Liu

Mental health remains a major public health concern, while access to timely psychological support is often limited. AI-based dialogue systems have emerged as promising tools to address these barriers, and recent advances in large language…

计算机与社会 · 计算机科学 2026-03-16 Daeun Lee , Dongje Yoo , Migyeong Yang , Jihyun An , Christine B. Cha , Jinyoung Han

Amidst the growing interest in developing task-autonomous AI for automated mental health care, this paper addresses the ethical and practical challenges associated with the issue and proposes a structured framework that delineates levels of…

计算机与社会 · 计算机科学 2024-08-16 Declan Grabb , Max Lamparth , Nina Vasan
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