A paper-and-pencil questionnaire outperforms GPT for measuring cognitive vulnerability to depression and predicting depressive symptoms.
紙本問卷在測量憂鬱認知脆弱性及預測憂鬱症狀方面優於GPT
Sci Rep 2025-06-05
Can Large Language Models Replace Therapists? Evaluating Performance at Simple Cognitive Behavioral Therapy Tasks.
大型語言模型能取代治療師嗎?評估其在簡單認知行為療法任務中的表現。
JMIR AI 2024-07-30
Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study.
使用大型語言模型從用戶生成的日記文本數據中檢測抑鬱症:數位心理健康篩檢中的新方法及工具驗證研究。
J Med Internet Res 2024-09-18
GPT-4 generated psychological reports in psychodynamic perspective: a pilot study on quality, risk of hallucination and client satisfaction.
基於心理動力學視角的 GPT-4 生成心理報告:關於質量、幻覺風險和客戶滿意度的初步研究。
Front Psychiatry 2025-04-03
Evaluating the agreement between ChatGPT-4 and validated questionnaires in screening for anxiety and depression in college students: a cross-sectional study.
評估 ChatGPT-4 與經驗證問卷在篩檢大學生焦慮和憂鬱症方面的一致性:一項橫斷面研究。
BMC Psychiatry 2025-04-11
A controlled trial examining large Language model conformity in psychiatric assessment using the Asch paradigm.
使用 Asch 範式檢驗大型語言模型在精神科評估中從眾行為的對照試驗
BMC Psychiatry 2025-05-12
Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy.
邁向將大型語言模型作為治療工具:比較提示技巧以提升GPT提供的問題解決治療效果
AMIA Annu Symp Proc 2025-05-26
這項研究發現,透過提示工程(prompt engineering)可以提升大型語言模型在心理治療(PST)初期階段的表現,尤其在症狀辨識和目標設定上更有效。雖然品質和同理心有所提升,但仍有侷限。整體來說,LLM 有潛力協助解決心理健康人力不足,推動 AI 治療服務發展。
PubMed
Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation.
探討 ChatGPT 在心理健康諮詢中的可解釋性:人工智慧生成內容差異化之分析
Comput Methods Programs Biomed 2025-05-27