“Transforming Healthcare with Ai: A Study on Medical Image Analysis”

Abstract

With the advancement of medical imaging techniques, an increasing number of medical images are being generated in healthcare facilities. Automated analytical systems are emerging as valuable databases, enabling efficient scanning and processing of medical images to create "big data." In this paper, we provide an overview of the evolution of machine learning methods, with a focus on the changing visual representation mechanisms in deep learning for recognition tasks. Specifically, we explore the applications of AI-image analysis in gastroenterology and herpetology, encompassing endoscopy, radiology, and pathology. These applications demonstrate the tremendous potential of AI in aiding medical professionals with accurate diagnosis, prognosis, and treatment strategies. By integrating AI technologies, radiologists can enhance their efficiency, allowing them to take on additional tasks that bring added value to patient care and strengthen their role in multidisciplinary clinical teams.