System to help diagnose Alzheimer's disease within minutes unveiled - Focus Taiwan

Taipei, Dec. 9 (CNA) A diagnosis system that utilizes artificial intelligence (AI) for the rapid screening of dementia due to Alzheimer's disease (AD) and mild cognitive impairment (MCI) has been developed by an interdisciplinary research team led by a professor at National Taiwan University of Science and Technology (NTUST). The electroencephalography (EEG)-based computer-aided diagnosis system, which integrates different technologies, including EEG signal processing, circuits and electronics, AI, cognitive neuroscience, and medical science, has demonstrated a high level of accuracy and usability in assisting AD and MCI diagnosis, according to the Ministry of Science and Technology (MOST) on Wednesday. As a result, the system is also expected to facilitate early intervention and reduce the risk of developing Alzheimer's dementia. Liu Yi-hung (劉益宏), a professor at NTUST who has led the research team since 2017, collaborated with Tsai Chia-fen (蔡佳芬), a doctor in the Division of Geriatric Psychiatry, Taipei Veterans General Hospital, and Wu Chien-te (吳建德), a professor at the International Research Center for Neurointelligence, University of Tokyo. They developed the nonlinearly multiple EEG feature decoding technique and identified the most MCI-sensitive brain areas by using machine learning methods.