Thesis Abstract

Abstract
The advent of artificial intelligence (AI) has revolutionized various industries, including healthcare, finance, and transportation. AI technologies, such as machine learning and deep learning, have enabled automation, improved decision-making processes, and enhanced overall efficiency. This research project focuses on the application of AI in the healthcare sector, specifically in medical imaging. Medical imaging plays a crucial role in the diagnosis and treatment of various medical conditions. However, the interpretation of medical images, such as X-rays, CT scans, and MRIs, can be time-consuming and error-prone. AI-based solutions offer the potential to assist healthcare professionals in analyzing and interpreting medical images more accurately and efficiently. The primary objective of this research is to explore the current state of AI applications in medical imaging and to evaluate the potential benefits and challenges associated with these technologies. By conducting a comprehensive literature review and analyzing existing studies and developments in the field, this research aims to provide insights into the effectiveness of AI in improving medical image analysis. Furthermore, this project aims to investigate the various AI techniques used in medical imaging, such as convolutional neural networks (CNNs) and generative adversarial networks (GANs). These advanced AI algorithms have shown promising results in tasks such as image segmentation, classification, and enhancement. In addition to exploring the technical aspects of AI in medical imaging, this research also considers the ethical and legal implications of using AI technologies in healthcare. Issues related to patient privacy, data security, and algorithm transparency are critical considerations that need to be addressed to ensure the responsible implementation of AI in medical imaging. Overall, this research project contributes to the growing body of knowledge on AI applications in healthcare, with a specific focus on medical imaging. By examining the current trends, challenges, and opportunities in this field, this research aims to provide valuable insights for healthcare professionals, researchers, policymakers, and other stakeholders interested in leveraging AI technologies to enhance medical image analysis and improve patient care.

Thesis Overview