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Advances in the application of AI-based MRI in depressive disorder
LOU Tao  LIU Zhaohui  ZHANG Gaofeng 

Cite this article as: LOU T, LIU Z H, ZHANG G F. Advances in the application of AI-based MRI in depressive disorder[J]. Chin J Magn Reson Imaging, 2026, 17(3): 117-124. DOI:10.12015/issn.1674-8034.2026.03.017.


[Abstract] Depression is a highly prevalent and disabling mental disorder worldwide, imposing substantial health and economic burdens on patients, families, and society. Currently, its clinical diagnosis primarily relies on symptom-based assessments, which are inherently subjective and heterogeneous, thereby limiting early identification and precise intervention. In recent years, artificial intelligence (AI)-based approaches have provided new possibilities for leveraging multimodal neuroimaging data to assist in objective prediction, biomarker discovery, and personalized treatment of depression. However, significant challenges persist in this field, including high data heterogeneity, lack of multi-center external validation, reliance on retrospective single-center data, and poor model interpretability. This paper systematically reviews the current state of artificial intelligence technologies in multimodal imaging research on depression and highlights that future efforts should be directed toward advancing data standardization, model robustness, and ethical oversight, while simultaneously enhancing model generalizability, interpretability, and clinical translation. These endeavors aim to inform the development of AI-assisted early warning, precise diagnosis, and treatment decision-making for depression.
[Keywords] depression；artificial intelligence；machine learning；deep learning；magnetic resonance imaging

LOU Tao   LIU Zhaohui   ZHANG Gaofeng*  

Department of Radiology, the Second Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China

Corresponding author: ZHANG G F, E-mail: zhanggaofeng159@126.com

Conflicts of interest   None.

Received  2026-01-16
Accepted  2026-02-22
DOI: 10.12015/issn.1674-8034.2026.03.017
Cite this article as: LOU T, LIU Z H, ZHANG G F. Advances in the application of AI-based MRI in depressive disorder[J]. Chin J Magn Reson Imaging, 2026, 17(3): 117-124. DOI:10.12015/issn.1674-8034.2026.03.017.

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