Atrial fibrillation (AFib) is the most common, with an overall prevalence of approximately 1% in the general population and a fivefold increase in the risk of stroke. It inflicts a significant burden in terms of morbidity and mortality, from stroke and heart failure, translating to significant effects on health-care costs and resource use. To develop an efficient and sustainable strategy for detecting undiagnosed AFib, the biomedical engineering team of NCU proposed a cloud-based artificial intelligence system for arrhythmia screening, especially for AFib. This system can be ubiquitously connected by incorporating with mobile devices in health examination with real-time feedback. Starting in 2019, NCU cooperated with Buddhist Tzu Chi Medical Foundation and health institutions of Taipei, Chiayi, Tainan, and Pingtung and on large- scale AFib screening. So far, over 20,000 people had been screened and 2.6% of AFib detection rate over 65.