Principal Investigator:
Prof. CAI Jing, Head and Professor, Department of Health Technology and Informatics; Technical Advisor, InsightRT Limited (a PolyU startup)
Our product enhances lung radiotherapy by automating the analysis of patient CT images and simplifying clinical procedures. With just a few clicks, it identifies organs and creates lung ventilation and perfusion maps, providing a comprehensive visual representation of lung function. This streamlined process helps clinicians make informed treatment decisions, improving patient outcomes.
The product uses cutting-edge image processing algorithms and AI techniques to ensure high accuracy and consistency. It features a user-friendly interface, a powerful backend, and 3D visualisation capabilities. Automating manual tasks reduces workload and minimises human error.
Designed with functionality and user experience in mind, our product is compatible with major operating systems and is distributed digitally, reducing environmental impact. Its innovative combination of automation, advanced visualisation and broad accessibility makes it a valuable tool in lung radiotherapy. It enhances precision and effectiveness, contributing to improved patient care.
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