Integration of RPA and Deep Learning

Abstract

Diagnostic imaging plays a pivotal role in modern healthcare, aiding in disease detection, treatment planning, and monitoring. However, the increasing volume of medical images poses challenges in efficient analysis and interpretation. This paper explores the integration of Robotic Process Automation (RPA) and Deep Learning (DL) techniques to streamline diagnostic imaging analysis. We discuss the principles of RPA and DL, their applications in healthcare, and the potential synergies when combined. Furthermore, we present case studies and discuss challenges and future directions in leveraging RPA and DL for diagnostic imaging analysis.