Thesis Abstract

Abstract
The rapid advancement of artificial intelligence (AI) technologies has significantly revolutionized various industries, including healthcare. In the field of radiography, AI has emerged as a promising tool for improving image quality and enhancing diagnostic accuracy. This thesis explores the impact of AI on improving image quality in radiography, focusing on the benefits, challenges, and implications of integrating AI technologies into radiographic imaging processes. The introductory chapter provides an overview of the research topic, presenting the background of the study, problem statement, research objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. Chapter two conducts a comprehensive literature review, analyzing ten key studies related to the use of AI in radiography and its impact on image quality. Chapter three outlines the research methodology employed in this study, detailing the research design, data collection methods, sample selection criteria, data analysis techniques, and ethical considerations. The methodology chapter also discusses the challenges and limitations encountered during the research process. Chapter four presents a detailed discussion of the findings, highlighting the key outcomes of the study regarding the effectiveness of AI in improving image quality in radiography. The chapter examines the strengths and limitations of AI technologies, as well as the implications for radiographers and healthcare providers. Finally, chapter five provides a comprehensive conclusion and summary of the thesis, emphasizing the significance of the research findings and their implications for the field of radiography. The conclusion also offers recommendations for future research directions and practical applications of AI in radiographic imaging. Overall, this thesis contributes to the growing body of knowledge on the impact of artificial intelligence on improving image quality in radiography. By highlighting the benefits and challenges of integrating AI technologies into radiographic practices, this research aims to inform healthcare professionals, policymakers, and researchers about the potential of AI to enhance diagnostic accuracy and patient outcomes in radiology.

Thesis Overview

The project titled "The Impact of Artificial Intelligence on Improving Image Quality in Radiography" aims to explore the role of artificial intelligence (AI) in enhancing the quality of medical images obtained through radiography. Radiography is a crucial diagnostic tool in healthcare, providing valuable insights into various medical conditions. However, the quality of radiographic images can significantly impact the accuracy of diagnoses and subsequent treatment plans. By integrating AI technologies into the radiography process, potential advancements in image quality and diagnostic accuracy can be achieved. The research will delve into the current landscape of radiography and the challenges faced in ensuring high-quality images. Issues such as noise reduction, image clarity, and artifact removal will be highlighted as key areas where AI can make a significant impact. By leveraging AI algorithms and machine learning techniques, radiographers and radiologists can potentially enhance image quality, leading to more precise and reliable diagnoses. The project will also investigate existing AI applications in radiography, analyzing how these technologies have already contributed to improving image quality in clinical settings. By reviewing relevant literature and case studies, the research will identify best practices and successful implementation strategies that can guide future developments in this field. Furthermore, the study will outline the methodologies and tools used to integrate AI into the radiography workflow. This will involve exploring various AI models, image processing techniques, and data analysis methods that can be applied to enhance image quality. By understanding the technical aspects of AI implementation in radiography, healthcare professionals can better appreciate the potential benefits and challenges associated with these technologies. Overall, the project aims to provide a comprehensive overview of the impact of artificial intelligence on improving image quality in radiography. By examining the current state of the field, exploring AI applications, and detailing implementation strategies, this research seeks to contribute to the ongoing efforts to optimize radiographic imaging practices and ultimately enhance patient care and outcomes.