AI-based Automatic Retinal Image Analysis (ARIA) for Estimating Risks of Chronic Diseases

Abstract

Due to rapid advancements in science and technology in the last decades, we now possess high computing power, increased data mobility due to the internet, and an efficient cloud computing environment that gives us unlimited resources to store and process information. Therefore, artificial intelligence (AI), machine learning and big data analytics approaches to solving real-world problems are a natural consequence. In the past, many people felt that AI would not have much impact on the highly regulated world of clinical applications. However, the recent development of sophisticated analytics and machine learning methods may change our understanding of traditional statistical concepts and significantly disrupt our clinical practice. This talk will focus especially on digital health applications as an example, using the AI-based automatic retinal image analysis (ARIA) to assess physical, cognitive, and mental health risks. It illustrates how these new technologies can be applied in the community to improve the population's overall health status. The area of research covers biostatistics, statistical computing, and a wide range of disciplines in medicine, dentistry and herbal medicine.