Elizabeth C Stade,Philip Held,H Andrew Schwartz et al.
Elizabeth C Stade et al.
Artificial intelligence (AI) systems and large language models offer substantial potential to augment or even fundamentally change elements of psychological assessment and treatment. However, current AI technologies have yet to demonstrate ...
Fine-tuning large language models for detecting negative self-referential language in smartphone text among youth with depression [0.03%]
在患有抑郁症的青少年人群中 fine-tuning 大型语言模型以检测智能手机文本中的消极自参照语言
Isaac N Treves,Lilian Y Li,Libby Hod et al.
Isaac N Treves et al.
Adolescent smartphone language provides a lens into negative self-referential thinking, which is central to major depressive disorder (MDD). Prior studies have linked language features, including negative sentiment and first-person pronouns...
Momentary persistence of negative interpretations as a dynamic marker of emotional distress [0.03%]
负面解释的瞬间持久性作为情感困扰的动态标志
Lisa M W Vos,Peter Kuppens,Tom Smeets et al.
Lisa M W Vos et al.
Inflexible revision of negative interpretations has been implicated in depression and social anxiety. Yet evidence primarily stems from studies employing controlled cognitive tasks that rely on standardized fictional scenarios. To track how...
Large language models can supplement the assessment of clinical high risk for psychosis [0.03%]
大型语言模型可以补充评估精神分裂症高风险状态的评估工作
Luz Maria Alliende,Rob Voigt,Maeve Hoffman et al.
Luz Maria Alliende et al.
Capturing psychosis risk before illness onset is an ongoing challenge for psychosis-spectrum studies. Natural language processing (NLP) tools can harness information embedded in the notes generated during clinical interviews to obtain more ...
Large language model applications for real-time clinical mental health assessment: Current potential and future directions [0.03%]
大型语言模型在实时临床心理健康评估中的应用：当前潜力与未来方向
Katie Aafjes-van Doorn,Francine Cheng Ty,Antonia Yuxin Hua et al.
Katie Aafjes-van Doorn et al.
Large language models (LLMs) have shown increasing promise in the mental health field. LLMs are especially well suited to play a role in the labor-intensive, costly process of clinical assessment, as they can interact with a patient or part...
Adithya V Ganesan,Vasudha Varadarajan,Yash Kumar Lal et al.
Adithya V Ganesan et al.
The use of large language models (LLMs) such as ChatGPT (GPT-4/GPT-5) for mental health is growing rapidly, including their use to assess and help people with mood disorders, such as depression. However, we have a limited understanding of t...
Contextual insights from large language models in ambulatory assessment: Differential reactivity of affect and self-esteem to daily events in borderline personality disorder [0.03%]
基于大型语言模型的门诊评估情境洞察：边缘型人格障碍患者情绪和自尊对日常事件的不同反应性
David Levi Tekampe,Tobias D Kockler,Ulrich W Ebner-Priemer et al.
David Levi Tekampe et al.
Ambulatory assessment (AA) research often relies on closed-ended context checklists, whereas open-ended event descriptions preserve richer idiographic context but are rarely analyzed at scale. Borderline personality disorder (BPD) is charac...
Large language models detect amplified abstract interpretation in trait anxiety [0.03%]
大型语言模型检测特质焦虑中的放大抽象解释
Jihyun K Hur,Wisteria Deng,Harsimran Kaur et al.
Jihyun K Hur et al.
Research on the relation of interpretation biases to internalizing symptoms has primarily focused on emotional valence (i.e., negativity bias), leaving other aspects of cognitive processing underexplored. Guided by dual-coding theory (Koust...
Toward an integrative science of suicidality: Understanding suicide risk factors through real-world natural language [0.03%]
迈向自杀综合科学：通过真实世界自然语言理解自杀风险因素
Ryan L Boyd,Isabella Vallejo,Kevin Lanning
Ryan L Boyd
Suicide remains a public health crisis; accurate prediction and coherent theory integration are hampered by suicidality's complexity and fragmented models. We introduce a multimethod computational framework that operationalizes 27 theory-de...
Using large language models to evaluate the interplay between posttraumatic stress disorder symptom severity and intolerance to uncertainty: A large-scale ecological momentary assessment study [0.03%]
利用大型语言模型评估创伤后应激障碍症状严重程度与不确定容忍度之间的相互作用：一项大规模生态瞬时评估研究
Elisa Xu,Scott Feltman,Siddharth Mangalik et al.
Elisa Xu et al.
Intolerance of uncertainty (IU) is central to cognitive models of posttraumatic stress disorder (PTSD), reflecting a maladaptive process that maintains hypervigilant threat appraisals and symptom persistence. However, traditional self-repor...