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This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (5175) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3231) Natural Language Processing (1293) Innovations in Mental Health Systems (667) Diagnostic Tools in Mental Health (441) Registered Report (1545) Generative Language Models Including ChatGPT (1538) AI Language Models in Health Care (753)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78401, first published .
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Evaluating the Efficacy of AI-Based Interactive Assessments Using Large Language Models for Depression Screening: Development and Usability Study

Evaluating the Efficacy of AI-Based Interactive Assessments Using Large Language Models for Depression Screening: Development and Usability Study

Authors of this article:

Zheng Jin1 Author Orcid Image ;   Jiaxing Hu2 Author Orcid Image ;   Dandan Bi1 Author Orcid Image ;   Kaibin Zhao1, 3 Author Orcid Image ;   Huan Yu1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Ling S, Chorney W. The use of large language models in automated depression detection. Acta Psychologica 2026;269:107602 View
  2. Asriadi AM M, Istianti T, Muliasari D, Silawati E. From psychometric measurement to AI-Assisted interpretation: a generative AI-supported adaptive assessment framework for early numeracy. Learning Futures and Emerging Technologies 2026:1 View
  3. Leung J, Johnson B, McRae K, Fong S, Gonzalez P, McClure-Thomas C, Sun T, Kern N, Wong Y, Liu R, Chan G. Generative Large Language Models in Mental Health Care Settings: Systematic Review and Meta-Analysis. JMIR AI 2026;5:e87730 View

Conference Proceedings

  1. Suresh A. 2026 International Conference on Machine Learning and Autonomous Systems (ICMLAS). Architectural Design of LLM- Powered Conversational BI Systems for High-Volume Enterprise Data Warehouses View