Technical Name |
Auxiliary Monitoring and Warning System for the Proper Positioning of Endotracheal Tubes |
Project Operator |
Kaohsiung Medical University Chung-Ho Memorial Hospital |
Project Host |
蔡明儒 |
Summary |
This technology automatically detects endotracheal tube (ETT) position and sends real-time alerts. Cross-hospital validation confirms clinical benefits. It targets global markets including Taiwan, the U.S., Asia-Pacific, and Europe, with annual potential worth billions of NT dollars. The business model focuses on licensing and co-development with medical software and ICU integrators, leveraging existing platforms for rapid growth and stable profits, offering strong commercialization prospects. |
Scientific Breakthrough |
This technology integrates the YOLO algorithm model with chest X-ray imaging to automatically detect endotracheal tube (ETT) position and provide alerts. It overcomes the limitations of traditional manual interpretation and external markings by offering real-time, objective, and high-accuracy decision support. With cross-hospital validation showing accuracy of over 90%, the system demonstrates strong potential for clinical application, commercialization, and expansion to other medical utilities. |
Industrial Applicability |
This technology automatically detects endotracheal tube (ETT) position and sends real-time alerts. Cross-hospital validation confirms clinical benefits. It targets global markets including Taiwan, the U.S., Asia-Pacific, and Europe, with annual potential worth billions of NT dollars. The business model focuses on licensing and co-development with medical software and ICU integrators, leveraging existing platforms for rapid growth and stable profits, offering strong commercialization prospects. |
Keyword |
Endotracheal tube detection Chest X-ray Artificial intelligence deep learning Software as a Medical Device (SaMD) YOLO medical image application AI risk assessment intensive care unit clinical decision support cross-hospital validation |