July 23, 2025

A Review of AI-Wearable Technologies for Public Health Surveillance in the U.S: Challenges and Recommendations

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AI-enhanced wearables can provide real-time data streams for public health surveillance, improving detection speed.
Studies show lead-time gains of two to six days in reporting for diseases like influenza and COVID-19 using these technologies.
Challenges include uneven adoption, sensor bias, and privacy regulations which limit the scalability of AI wearables.
Strategic recommendations focus on consolidating standards, equitable device subsidization, and improving algorithm auditability.

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Implication

This review highlights challenges in AI wearable technologies for public health surveillance, suggesting improvements to enhance data utility and integration.

Cite This Study

Hanafi et al. (2025) studied this question.

synapsesocial.com/papers/689a0621e6551bb0af8cde70 https://doi.org/10.69739/jmsbc.v2i2.739

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Implication

This review highlights challenges in AI wearable technologies for public health surveillance, suggesting improvements to enhance data utility and integration.

A Review of AI-Wearable Technologies for Public Health Surveillance in the U.S: Challenges and Recommendations

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Discussion

Implication

Cite This Study

A Review of AI-Wearable Technologies for Public Health Surveillance in the U.S: Challenges and Recommendations

Key Points

Discussion

Implication

Cite This Study

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