AI-driven facial scanning for contactless monitoring of vital cardiovascular parameters: validation of the vuearo mirror system against standard cuff-based devices
European Heart Journal - Digital Health

Abstract
Accurate and continuous monitoring of blood pressure (BP) and heart rate (HR) is critical for timely cardiovascular risk assessment and intervention. The VueAro Mirror is an AI-powered, contactless facial scanning system designed to estimate vital cardiac parameters in real time. This study evaluates the performance of the VueAro system against a clinically validated automated cuff-based BP monitor, with subgroup analysis across age and gender.
In a prospective study involving 769 adults (aged 18–80), simultaneous measurements of systolic BP, diastolic BP, and HR were obtained using both the VueAro system and a standard automated BP device. Agreement between methods was assessed using paired t-tests, Bland-Altman analysis, and stratified error visualizations. Subgroup analyses examined algorithmic performance variation by age and gender.
Statistically significant differences were found between the VueAro and cuff-based device readings for all parameters (systolic BP, diastolic BP, and HR; all p < 0.05). The VueAro system slightly underestimated systolic BP and overestimated diastolic BP and HR. Measurement deviations were influenced by demographic factors, suggesting algorithm tuning opportunities. Bland-Altman plots revealed consistent trends with acceptable limits of agreement, supporting foundational validity with some systematic bias.
The VueAro Mirror demonstrates strong potential as a non-invasive, AI-powered cardiovascular monitoring tool. While initial differences from standard cuff-based devices exist, they are within a range that could be improved with demographic-specific model calibration, integration of PPG signal data, and adaptive signal processing techniques. These findings underscore the feasibility of AI-enhanced facial scanning for scalable, contactless cardiac health monitoring, aligning with the broader vision of remote digital health solutions in cardiology.

