Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study
The Q&A paradigm demonstrated higher efficacy than MID, both individually and in combination. Using AI to analyze audiovisual signals across multiple paradigms has the potential to be an effective tool for MDD screening.
Authors
- Nanxi Li (ORCID: https://orcid.org/0000-0002-4830-7891)
- Donghao Chen (ORCID: https://orcid.org/0009-0004-7966-8536)
- Gang Wang (ORCID: https://orcid.org/0000-0003-3949-1188)
- Xiaodong Zhang (ORCID: https://orcid.org/0000-0001-6347-4973)
- Xiaolong Zhang (ORCID: https://orcid.org/0000-0003-2964-0485)
- Honggang Zhang (ORCID: https://orcid.org/0000-0001-8287-6783)
- Runqi Qiao
- Pengfei Wang (ORCID: https://orcid.org/0009-0008-2029-3302)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- Capital Medical University (CN)
- Beijing Anding Hospital (CN)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-05-30
- DOI
- https://doi.org/10.2196/56057
- Citations
- 3
- Primary Topic
- Emotion and Mood Recognition
- Type
- article
- Field-Weighted Citation Impact
- 6.35