The 30th Information Application Service Innovation Contest, co-organized by the Ministry of Digital Affairs, the Ministry of Education, and the Chinese Society for Information Management, drew a record-breaking 1,964 teams from 151 universities and colleges, with over 9,000 participants nationwide.
CYCU delivered an outstanding performance, winning three first prizes, one second prize, and several special and honorable mentions, while achieving an impressive eight-year championship streak—a testament to its excellence in innovation and research.
Led by Professor Shih-Lun Chen from the Department of Electronic Engineering, students demonstrated exceptional AI application and R&D capabilities. The Information Management students supervised by Professor Chen earned first place in the Industry-Academia Collaboration Category I with their project “Intelligent AI-Assisted Periodontal Disease System.” Meanwhile, the Electrical Engineering team also won double first prizes in the Industry-Academia Collaboration Category III and the Industrial Innovation AI Category with “OralEye: Visualizing Tooth Position and Symptoms,” and took second place in the Industry-Academia Collaboration Category II with “AI-DentPath: Intelligent Implant and Inflammation Guardian.”
All of CYCU’s award-winning projects center on artificial intelligence, focusing on innovative AI solutions for clinical dentistry. Among them, Information Management students Jin-Hao Liang, Kai-Syun Yu, and Pin-Yu Lu developed the “Intelligent AI-Assisted Dental System,” which integrates AI and automation technologies to perform real-time X-ray image analysis and lesion marking, streamlining the diagnosis and treatment process to enhance clinical decision-making efficiency.
The system also incorporates a large language model–powered intelligent consultation interface, improving communication between dentists and patients and advancing smart, human-centered dental care.
The “OralEye” and “AI-DentPath” systems developed by CYCU’s Department of Electronic Engineering integrate deep learning and image recognition technologies to enhance the accuracy and efficiency of dental clinical diagnostics.
“OralEye” features low-cost and high-precision advantages, making it suitable for both clinical practices and remote healthcare applications. Meanwhile, “AI-DentPath” focuses on implant planning, automatically generating optimal implant paths, precisely locating implant threads, and quantifying inflammation levels to support advanced AI-driven dental treatment.
Professor Shih-Lun Chen noted that all the award-winning projects were developed in collaboration with Chang Gung Memorial Hospital, Taoyuan, where clinical validation was successfully completed—demonstrating the practical effectiveness of AI technologies in supporting dental diagnosis and treatment. He emphasized that the research not only integrates academic innovation and clinical application, embodying the spirit of interdisciplinary collaboration, but also lays a solid foundation for the advancement of smart healthcare, showcasing CYCU’s strong commitment to AI-driven medical innovation.
Students from the Department of Electronic Engineering shared that the competition experience helped them realize that the core of dental AI development lies in “extracting key features from medical images.” Despite the challenges encountered while designing the DAFNet architecture and TPD Loss function, their perseverance led to a significant improvement in model accuracy. They expressed deep gratitude to Professor Chen and distinguished alumnus Yuan-Chin Lin for their expert guidance, which enabled the team to focus on research and turn their innovative ideas into tangible achievements.
In addition, a team supervised by Professor Kuo-Cheng Lee from the Department of Information Management developed “Flowin’ – Digital Mindflow Assistant,” which integrates AI and wearable technology. By analyzing heart rate variability (HRV) and applying machine learning, the system identifies users’ stress and peak efficiency periods, providing personalized recommendations to enhance focus, mindfulness, and productivity.
Another team, guided by Professor Hsiu-Li Liao, created “WeMedLink – Airport Medical Reporting System.” Built with Flutter and SQLite, the system offers a cross-platform, offline-capable, and bilingual (Chinese–English) interface that automates medical reporting processes and enables real-time information updates, greatly improving emergency response efficiency.
Meanwhile, a team supervised by Professor Hsiao-Wei Hu from the College of Intelligent Computing and Quantum Information developed a low-cost, high-efficiency AI recognition system that integrates consumer-grade detector technology to significantly improve the accuracy and efficiency of waste toy recycling and sorting. This project embodies CYCU’s core commitment to promoting a circular economy and sustainable development through the power of intelligent technology.
CYCU stated that its long-term leadership in professional education and innovative practice stems from its commitment to the principles of “integration of learning and application” and holistic education. The university’s curriculum is closely aligned with industry trends, actively incorporating topics such as AI, sustainability, and net-zero initiatives to equip students with the ability to apply technology in solving real-world problems and give back to society.
Looking ahead, CYCU will continue to advance interdisciplinary AI research and applications, integrating industrial development with social responsibility to build an innovative, practical, and sustainable smart R&D ecosystem, thereby fulfilling its educational mission through technology.
