The systematic review and meta-analysis found that wearable AI systems demonstrate promising performance in detecting and predicting depression. However, substantial variability exists among algorithms and devices, thereby indicating that performance can vary significantly.
What this means is that disparities across different algorithms and devices were identified, suggesting that certain demographic groups may be underrepresented or inadequately served by current wearable AI systems. This variability underscores the need for further research to enhance the generalizability and fairness of these technologies in clinical practice.
Learn more about this review here: https://doi.org/10.1038/s41746-023-00828-5
Reference
Abd-Alrazaq, A., AlSaad, R., Shuweihdi, F. et al. Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression. npj Digit. Med. 6, 84 (2023).