Wearable Sensors and Deep Learning for the Management of Acute Pancreatitis in Precision Medicine

Many diseases are heterogeneous and dynamics in nature. Therefore, constant feedback of the related physiological signs and blood biomarkers from patients is essential to achieve optimal treatment effects. Moreover, procedural factors are also important to determine treatment outcomes. Both factors can be more easily recorded and streamlined nowadays by wearable sensors. Nevertheless, interpretation of the vast amount of data is becoming difficult. In this regard, advanced machine learning techniques such as deep learning have great potential to digitize the intertwined relationships and to predict the clinical endpoints. This chapter discusses the basic principles of wearable sensors, artificial intelligence technologies for them and their application for the management of acute pancreatitis in precision medicine.