Implementation of Artificial Intelligence in Radiography for Improved Image Analysis

Thesis Abstract

Abstract
This thesis explores the implementation of Artificial Intelligence (AI) in radiography to enhance the process of image analysis. The use of AI technology has gained significant attention in the field of healthcare, particularly in radiology, due to its potential to improve diagnostic accuracy, efficiency, and patient outcomes. This research project aims to investigate the integration of AI algorithms in radiography for the purpose of enhancing image analysis techniques. The study will involve a comprehensive review of existing literature on AI applications in radiography, followed by the development and testing of AI-based image analysis models using real-world radiographic datasets. The research methodology will include data collection, preprocessing, model training, validation, and evaluation. The findings of this study are expected to contribute to the advancement of radiography practice by providing insights into the effectiveness of AI in improving image analysis accuracy and efficiency. The implications of this research could lead to the development of AI-powered tools and systems that can assist radiographers in making more informed decisions and providing better patient care. Overall, this thesis aims to address the growing need for innovative solutions in radiography through the integration of AI technology for improved image analysis.