Thesis Abstract

Abstract
The utilization of Artificial Intelligence (AI) in radiography has emerged as a promising approach to enhance diagnostic accuracy and efficiency in healthcare settings. This research aims to investigate the impact of AI technology on radiographic imaging interpretation and its potential to improve diagnostic accuracy. The study will focus on exploring how AI algorithms can assist radiographers and radiologists in interpreting medical images more accurately and efficiently. The research will begin with a comprehensive review of the current literature on AI applications in radiography, highlighting the benefits and challenges associated with integrating AI technology into clinical practice. The review will cover various aspects such as the development of AI algorithms for image analysis, the integration of AI systems into radiology workflow, and the potential impact on diagnostic outcomes. Subsequently, the research will delve into the methodology employed to assess the effectiveness of AI in improving diagnostic accuracy in radiography. The methodology will include the selection of suitable AI algorithms, the collection of radiographic images for analysis, and the evaluation of AI-assisted image interpretation compared to traditional methods. The findings of this study are expected to provide valuable insights into the effectiveness of AI technology in enhancing diagnostic accuracy in radiography. The results will contribute to the growing body of knowledge on the integration of AI in healthcare practice and may have implications for future developments in medical imaging technology. Overall, this research seeks to address the growing need for innovative solutions to improve diagnostic accuracy in radiography and enhance patient care outcomes. By exploring the potential of AI technology in radiographic imaging interpretation, this study aims to contribute to the advancement of healthcare practices and the delivery of more accurate and efficient diagnostic services.

Thesis Overview

The project titled "Utilization of Artificial Intelligence in Radiography for Improved Diagnostic Accuracy" aims to explore the integration of artificial intelligence (AI) technology in the field of radiography to enhance diagnostic accuracy. Radiography plays a crucial role in medical imaging for diagnosing various health conditions, and the accuracy of these diagnoses is essential for effective patient care. With the advancements in AI technology, there is a growing interest in leveraging machine learning algorithms to assist radiologists in interpreting medical images more efficiently and accurately. The research will begin with an introduction that provides an overview of the importance of diagnostic accuracy in radiography and the potential benefits of integrating AI technology. The background of the study will delve into the current practices in radiography and the challenges faced in achieving optimal diagnostic accuracy. The problem statement will highlight the limitations of existing methods and the need for innovative solutions to enhance diagnostic precision. The objectives of the study will be outlined to clarify the specific goals that the research aims to achieve, such as evaluating the effectiveness of AI in improving diagnostic accuracy and identifying the key factors influencing its implementation in radiography. The limitations of the study will also be acknowledged to provide transparency about the constraints and potential biases that may affect the research outcomes. The scope of the study will define the boundaries within which the research will be conducted, focusing on specific AI applications in radiography and the target population or medical conditions under consideration. The significance of the study will emphasize the potential impact of AI integration on healthcare outcomes, patient care quality, and the efficiency of radiology practices. The structure of the thesis will be outlined to provide a roadmap of the research framework, including the chapters and subtopics that will be covered. Additionally, a definition of terms will be provided to clarify any technical or specialized terminology used in the research. Overall, this research overview sets the stage for an in-depth investigation into how AI technology can be effectively utilized in radiography to enhance diagnostic accuracy, improve patient outcomes, and advance the field of medical imaging.