Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis.

ABSTRACT:

Background

Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subjective, time-consuming, and challenging to repeat. Therefore, there is an increasing demand for using technologies capable of providing objective and early detection of anxiety. Wearable artificial intelligence (AI), the combination of AI technology and wearable devices, has been widely used to detect and predict anxiety disorders automatically, objectively, and more efficiently.

Objective

This systematic review and meta-analysis aims to assess the performance of wearable AI in detecting and predicting anxiety.

Methods

Relevant studie

SUBMITTER: Abd-Alrazaq A 

PROVIDER: S-EPMC10666012 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature