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

Formative Evaluation of Digital Health Interventions (3298) Innovations in Mental Health Systems (494) Generative Language Models Including ChatGPT (742) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2164) Natural Language Processing (931) AI Language Models in Health Care (214) Diagnostic Tools in Mental Health (330) Registered Report (807)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78401, first published .
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

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 Tweetations Metrics

There are no citations yet available for this article according to Crossref .