Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study

doi:10.2196/56057

Published on 30.05.2025 in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56057, first published February 23, 2024.

Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study

Donghao Chen¹

; Pengfei Wang^{2, 3}

; Xiaolong Zhang^{2, 3}

; Runqi Qiao¹

; Nanxi Li^{2, 3}

; Xiaodong Zhang^{2, 3}

; Honggang Zhang¹

; Gang Wang^{2, 3}

Article Authors Cited by Tweetations Metrics

Donghao Chen ¹ , PhD ; Pengfei Wang ^{2, 3} , PhD ; Xiaolong Zhang ^{2, 3} , PhD ; Runqi Qiao ¹ , PhD ; Nanxi Li ^{2, 3} , PhD ; Xiaodong Zhang ^{2, 3} , BD ; Honggang Zhang ¹ , PhD ; Gang Wang ^{2, 3} , PhD, MD

¹ School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

² Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China

³ Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China

Corresponding Author:

Gang Wang, PhD, MD
Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders
Beijing Anding Hospital, Capital Medical University
No 5 Ankang Lane, Xicheng District
Beijing 100088
China
Phone: 86 15210807053
Email: gangwangdoc@ccmu.edu.cn

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

Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study

Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study

Corresponding Author: