Project Abstract

Abstract
This research project focuses on the implementation of Artificial Intelligence (AI) in radiography to enhance diagnostic accuracy and efficiency within the field of medical imaging. Radiography plays a crucial role in the diagnosis and treatment of various medical conditions, and the integration of AI technologies promises to revolutionize the way radiological images are interpreted and analyzed. The primary objective of this study is to investigate the impact of AI on improving diagnostic accuracy and efficiency in radiography, ultimately leading to better patient outcomes and streamlined healthcare processes. The research begins with a comprehensive review of the existing literature on AI applications in radiography, highlighting the latest advancements and emerging trends in this rapidly evolving field. By examining previous studies and case examples, the project aims to identify the key benefits and challenges associated with implementing AI in radiological practice. Methodology plays a critical role in this research, as the study employs a mixed-methods approach to gather and analyze data. Quantitative data will be collected through surveys and statistical analysis to measure the effectiveness of AI algorithms in improving diagnostic accuracy. Qualitative data will be obtained through interviews with radiologists and healthcare professionals to gain insights into their experiences with AI technology in clinical practice. The findings from this research project will be presented and discussed in detail in Chapter Four, shedding light on the impact of AI on radiographic interpretation and the overall diagnostic process. By examining the strengths and limitations of AI systems in radiography, this study aims to provide valuable insights into the practical implications of integrating AI technology into clinical workflows. In conclusion, this research project contributes to the growing body of knowledge on the implementation of AI in radiography and its potential to enhance diagnostic accuracy and efficiency. The results of this study will provide valuable guidance for healthcare providers, radiologists, and policymakers looking to leverage AI technologies to improve patient care and healthcare delivery. Keywords Artificial Intelligence, Radiography, Diagnostic Accuracy, Efficiency, Medical Imaging, Healthcare Technology.

Project Overview