Our technology focuses on assessment of wound healing status in chronic wound care. It employs multispectral imaging principles to provide healthcare professionals with blood oxygen saturation information. By training AI algorithms on clinical patient data collected at NCKU Hospital, we conduct wound tissue recognition and healing assessment. Through miniaturized systems and IoT technology, the technology enables continuous wound tracking and achieving the goal of remote healthcare.

The technology utilizes multispectral imaging to calculate tissue oxygen concentration. By combining color and blood oxygen wound images features, we develop an AI algorithm specifically for wounds, enabling real-time identification of wound tissue types and healing stages. The smartphone-based miniaturized system offers lightweight portability and edge computing capabilities. Through IoT integration with databases and information display platforms, remote healthcare is achieved.

Chronic wound care holds significant market value. Based on stakeholder interviews in medical institutions, our team has designed a portable wound care system with high utility and user-friendliness. It has been deployed in NCKU Hospital for practical testing. With years of collaboration with BenQ Materials, our technology continues to undergo product optimization under their guidance, aiming to commercialize the technology and reduce the gap between academia and industry.