Application of Artificial Intelligence in Radiography for Improved Diagnostic Accuracy

Thesis Abstract

Abstract
The advancement of Artificial Intelligence (AI) technology has revolutionized various industries, including healthcare. This thesis explores the application of AI in radiography to enhance diagnostic accuracy. The primary aim of this study is to investigate how AI algorithms can be integrated into radiography processes to improve the interpretation of medical images and aid in accurate diagnosis. By leveraging AI capabilities, radiologists can benefit from enhanced efficiency, reduced error rates, and ultimately, better patient outcomes. The research begins with an introduction that provides background information on the use of AI in radiography and outlines the problem statement, objectives, limitations, scope, significance, and structure of the thesis. The literature review in Chapter two examines ten key studies related to AI applications in radiography, highlighting the current state of the art and identifying gaps in existing research. Chapter three presents the research methodology, detailing the approach, data collection methods, AI algorithms utilized, validation techniques, and ethical considerations. The methodology section also discusses the selection criteria for the study sample and the process of data analysis. In Chapter four, the findings of the study are comprehensively discussed, focusing on the impact of AI integration on diagnostic accuracy in radiography. The results highlight the effectiveness of AI algorithms in assisting radiologists with image interpretation, detecting abnormalities, and providing accurate diagnoses. Additionally, this chapter explores the challenges and opportunities associated with the implementation of AI in radiography. Finally, Chapter five offers a conclusion and summary of the thesis, emphasizing the key findings, implications, and recommendations for future research and clinical practice. The study concludes that the application of AI in radiography holds great promise for improving diagnostic accuracy and enhancing patient care. By harnessing the power of AI technologies, healthcare providers can achieve more precise and efficient radiological assessments, leading to better outcomes for patients. In conclusion, this thesis contributes to the growing body of knowledge on the integration of AI in radiography and its potential to transform the field of medical imaging. The findings underscore the importance of continued research and innovation in leveraging AI tools to enhance diagnostic accuracy and improve healthcare delivery.