Digital Medicine
Since the Industrial Revolution, the remarkable advancements in medicine have been propelled by technological progress, enabling us to leverage diverse technologies to comprehend the underlying mechanisms and progression of diseases. Today, the revolutionary breakthrough of digital medicine—integrating healthcare with information science to decode hidden patterns within medical big data—stands as a critical and defining domain for the future of next-generation healthcare.
Smart Healthcare and Its Applications
Smart healthcare touches upon every dimension of medicine. Establishing trustworthy medical artificial intelligence models and seamlessly integrating them into clinical workflows to build affordable, highly efficient, safe, and reliable healthcare service models stands as a critical challenge for the next decade of smart healthcare development.
Moving from fundamental concepts to advanced applications, this course utilizes open-access medical databases to introduce the real-world applications of artificial intelligence technologies in healthcare.
Biomedical Signal Analysis
Biomedical signals serve as essential tools for measuring physiological functions, encompassing electroencephalograms (EEG), blood pressure, respiration, and electrocardiograms (ECG). The analysis of biomedical signals not only functions as a powerful tool for clinical diagnosis but also facilitates a deeper understanding of underlying physiological mechanisms, forming a critical cornerstone for smart healthcare applications.
This course provides a comprehensive introduction to biomedical signal analysis methods, with a strong focus on their practical application within medical research and clinical domains.