A multispectral light source based miniaturized tissue oxygenation imaging system for telemedicine wound healing phases recognition
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.
Building integrated management system by artificial intelligence based on big data analysis and data mining to implement precision medicine in healthcare management
Development of high efficiencDevelopment of DC Brushless Electric Screwdriver Controller Used in Production Line Management Systemy DC brushless motor introduced into small air compressor
Artificial intelligence driven automatic tumor detection and follow up, and precision medicine model for acoustic neuroma
Combining multi-spectral satellite imagery and machine learning methods to establish automatic identification system of landslides and factor analysis of typhoon events
Technology maturity：Trial production
Exhibiting purpose：Display of scientific results
Trading preferences：Negotiate by self
Coming soon!