AlgoSensus combines artificial intelligence/machine learning, big data, and kinesics to reduce falls among the elderly. The company aims to make balance assessments and treatments empirical, consistent, objective, and scalable.
AlgoSensus applies machine learning to data acquired via its Kinezio 4D balance-analysis platform. Based on individual and aggregated stability patterns, it provides personalized treatments via its mobile app and perturbation balance training devices.
This ongoing, closed-loop program reduces falls, targeting neurological causes of imbalance. Combined with patient electronic medical records, its big dataset will also provide predictive diagnostics for neurodegenerative diseases.
Partnerships with health information exchanges enable AlgoSensus to be insurance reimbursable as remote patient monitoring and software-as-medical-device. Driven by recurring mobile app subscriptions and Kinezio 4D sales (razor/blade), AlgoSensus also monetizes the big data it acquires from ongoing Kinezio 4D use.
