What question did this study set out to answer?

To evaluate the accuracy and predictive capabilities of AI models based on wearable devices for detecting depression.

March 13, 2026JMIR Mental Health2 citationsOpen Access

The Performance of Wearable Device–Based Artificial Intelligence in Detecting Depression: Systematic Review and Meta-Analysis

JLJiawen LiuJiangsu University JWJia‐Yi WangZhejiang International Studies University ZWZhaobin Wu

Key Points

To evaluate the accuracy and predictive capabilities of AI models based on wearable devices for detecting depression.
Conducted a systematic review and meta-analysis
Analyzed data from retrospective and public datasets
Assessed accuracy and predictive utility of AI models
AI models demonstrated high accuracy in detecting depression
Moderate effectiveness in predicting depressive episodes
Limitations included data heterogeneity and lack of standardized methods

Abstract

Wearable device-based AI models achieved high accuracy for detecting depression and moderate utility in predicting episodes. However, heterogeneity, reliance on retrospective and public datasets, and lack of standardized methods limited generalizability.

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Cite This Study

Liu et al. (Tue,) studied this question.

synapsesocial.com/papers/69b3ac7002a1e69014cce190 https://doi.org/https://doi.org/10.2196/85319

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