Science
Digital biomarkers that objectively quantify mental wellbeing at scale.
Non-invasive physiological biomarkers without a wearable.
MI's protected algorithms deliver biomarkers, including heart rate (HR) and heart rate variability (HRV), through the analysis of colour video captured via a standard smartphone camera.
Click here to access a published peer-reviewed study describing MI's computer vision technology underlying remote measurement of HR.
The world's most accurate measure of stress via smartphone video.
MI's unique 6-layer deep neural network predicts cognitive stress to 86% accuracy with nothing more than the HR and HRV data obtained from the patient's smartphone.
Click here to access a published peer-reviewed study describing MI's machine learning technology for remote and objective stress quantification.
Benchmarked self-assessments of mental wellbeing.
MI has very simple-to-use self-report tools, including a stress slider and mood board, that have been benchmarked in multiple clinical trials to leading medical standards.
Click here to access a published peer-reviewed study demonstrating strong statistically significant correlations between MI's self-report tools and principal components of medically accepted psychological questionnaires examining mental wellbeing.
