English 
正體中文 
Yuan Ze University’s Department of Computer Science and Engineering achieved outstanding results on the international stage. Under the guidance of Associate Professor Ting-Yin Chien, the research team recently participated in the 9th International Conference on Medical and Health Informatics (ICMHI 2025) held in Kyoto, Japan.
The team excelled in the Student Paper Competition, with master’s student Hao-Ting Lee winning first place in the master's category, and junior undergraduate student Cheng-Yu Lin claiming the championship in the undergraduate division. Their success showcased Yuan Ze’s strong capabilities and innovation in the fields of medical informatics and artificial intelligence.
ICMHI (International Conference on Medical and Health Informatics) is one of the premier annual events in the field of medical and health information sciences. This year’s theme, "Advancing the Art and Science of Medical Informatics through Digital Innovation", attracted research teams from over 30 countries. Associate Professor Ting-Yin Chien stated that by participating in international conferences, students not only applied classroom knowledge to real-world research, but also gained valuable hands-on experience in data processing, model training, academic writing, and international presentation, thus broadening their global perspectives.
Hao-Ting Lee, who won first place in the master's category, collaborated with the biomedical startup GeneHope Biomedical. His research focused on detecting images of cultured circulating tumor cells (CTCs) in cancer patients. By incorporating AI technologies into the cell culturing process, his work aimed to enhance the cultivation success rate of CTCs and reduce patient waiting time, demonstrating strong potential for clinical application.
In the undergraduate category, Cheng-Yu Lin won the championship for his work on predicting amputation risks in diabetic foot patients. He applied multimodal anomaly detection techniques, integrating wound images with structured clinical data to predict the likelihood of major amputation within a year. Cheng-Yu Lin noted that the study, conducted in collaboration with Dr. Dun-Hao Chang’s team at Far Eastern Memorial Hospital, helped him deeply understand the integration of medical imaging and clinical data. He also experienced significant growth in interdisciplinary collaboration, deep learning applications, and academic writing.
Yu-Ting Tsai, Chair of the Department of Computer Science and Engineering, stated that in recent years, the department has actively engaged in cutting-edge research and teaching in areas such as artificial intelligence, image processing, and large language models (LLMs). By continuously deepening collaborations with medical institutions and industry, the department is committed to cultivating professionals with the ability to integrate AI and healthcare across disciplines. The team’s double victory in this international competition fully demonstrated Yuan Ze's research strength and global competitiveness in medical AI.
