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
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  • Li-Li Wang