UTime Developing AI-Based Algorithm Models To Perform Analysis Of Physiological Data Collected From Smart Wearable Devices

UTime Limited (NASDAQ:WTO) today outlined its ongoing exploration in the field of health data analysis, particularly the potential application of artificial intelligence (AI) technologies.

UTime is developing AI-based algorithm models aimed at performing in-depth analysis of continuous physiological data collected from smart wearable devices such as watches and rings. Current research directions include: building hypertension risk assessment models by integrating multi-parameter data like blood pressure, heart rate, activity and sleep; and conducting trend assessments of users' cardiovascular system health status by analyzing features such as pulse wave morphology. The company explicitly states that all these AI analysis functions are intended to provide users with health trend insights and risk management references and are not substitutes for professional medical diagnosis.