En 
繁 The AI R&D team led by Professor Chao Yao-Geng from Yuan Ze University’s Department of Electrical Engineering successfully developed a globally leading AI MCI rapid screening tool with support from Qualcomm’s program in the United States. Utilizing large language models and deep learning technology, the team created a non-invasive "picture description" speech test that required only one minute to complete. This screening could be conducted remotely via the LINE platform, allowing users to easily test for MCI at home using a smartphone or tablet. The innovation significantly enhanced the early detection rate of mild cognitive impairment (MCI).
Professor Chao pointed out that, unlike traditional cognitive assessments such as CASI and MMSE, which required professional interpretation, Yuan Ze University’s MCI screening functioned as Software as a Medical Device (SaMD), enabling automatic analysis. The system also integrated with smart devices such as smartwatches, smart glasses, and caregiving robots, making it a cost-effective, time-saving, and efficient solution for telemedicine applications.
In the 2024 TAUKADIAL Bilingual Cognitive Function AI Prediction Competition, the Yuan Ze University AI research team built its AI model within just a few weeks and achieved remarkable results. The team secured first place in Taiwan, second place in Asia, and tied for fifth place globally alongside Johns Hopkins University. Their Mandarin-based MCI detection accuracy exceeded 90%, making them one of the few Taiwanese teams to successfully submit a final prediction and achieve a ranking. The competition, co-hosted by the University of Edinburgh, Carnegie Mellon University, National Cheng Kung University, and Cardinal Tien Hospital, featured extremely rigorous evaluation criteria.
