TAIPEI (Taiwan News) — Hsu Hsin (許昕), a professor at TaiwanTech’s Graduate Institute of Biomedical Engineering, has led a team to develop an AI-powered wearable device that can predict risks for 25 chronic diseases and cancers.

Currently, the device has demonstrated accuracy rates ranging from 71% to 92%, according to a TaiwanTech press release. The team plans to develop comprehensive assessments covering cardiometabolic health, cognitive health, and cancer treatment efficacy, combined with lifestyle analyses such as diet and exercise, to improve early disease detection.

Hsu said the team’s device can complete an AI pulse analysis within one minute, helping doctors and users identify health risks that require priority attention. By adopting a “point-line-plane” concept to build a health assessment model, the team aims to turn wearable devices into clinically meaningful intelligent health support systems.

Given its relatively low production and operating costs, the device is particularly well-suited for community health screenings, rural healthcare services, and long-term care settings, Hsu said.

Hsu said the team has introduced an early warning system for mild cognitive impairment in older adults, aiming to detect potential risks of Alzheimer’s disease and other forms of dementia. The system integrates indicators such as exercise habits, dietary patterns, and vascular nutrition to build AI-assisted assessment models that provide practical and actionable improvement recommendations.