Toward Personalized Healing: AI-Supported Wearables in Mental Health Practice

When applied to physiological and behavioral data collected from wearable devices, artificial intelligence (AI) can identify patterns associated with a variety of conditions, including mental health events. Researchers are exploring applications such as the early detection of mental health disorders and personalized, real-time interventions. However, these technologies also come with technical challenges and ethical considerations.

Authors

Publication Details

Journal
IEEE Pulse
Published
2025-09-01
DOI
https://doi.org/10.1109/mpuls.2025.3618429
Citations
1
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
1.54
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article

Toward Personalized Healing: AI-Supported Wearables in Mental Health Practice

Mary Bates
1 citations
IEEE Pulse
Digital Mental Health Interventions
1.54
article

Toward Personalized Healing: AI-Supported Wearables in Mental Health Practice

Mary Bates
article en
1 citations

Abstract

When applied to physiological and behavioral data collected from wearable devices, artificial intelligence (AI) can identify patterns associated with a variety of conditions, including mental health events. Researchers are exploring applications such as the early detection of mental health disorders and personalized, real-time interventions. However, these technologies also come with technical challenges and ethical considerations.

IEEE PulseVol. 16(5)
Openalex Percentile: Top 11%
Digital Mental Health Interventions
1.54
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Toward Personalized Healing: AI-Supported Wearables in Mental Health Practice — Mary Bates · IEEE Pulse (2025) | TGRS Research Map | TGRS