WEARABLE ARTIFICIAL INTELLIGENCE FOR DETECTING ANXIETY: A SYSTEMATIC REVIEW & META-ANALYSIS
A rigorous evidence review examining whether wearable sensors combined with artificial intelligence can objectively and automatically detect anxiety — the core science behind continuous, real-world mental-health monitoring.Alaa Abd-alrazaq, Rawan AlSaad, Manale Harfouche, Sarah Aziz, Arfan Ahmed, Rafat Damseh, Javaid Sheikh
Anxiety disorders are among the most common mental health conditions worldwide, yet they are typically assessed through subjective self-report surveys or time-intensive clinical interviews that are difficult to repeat. This peer-reviewed systematic review and meta-analysis evaluates a fast-emerging alternative: wearable artificial intelligence — the pairing of everyday wearable devices (like smartwatches and wristbands) with machine-learning models — to detect and predict anxiety automatically, objectively, and continuously. It synthesizes the current evidence on how well this approach actually works and where it still falls short.
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