Thesis Abstract

Abstract
The rapid advancement of technology in recent years has led to a significant increase in the use of artificial intelligence (AI) in various fields. One area where AI has shown great promise is in the healthcare sector, particularly in medical image analysis. This research project aims to explore the applications of AI in the analysis of medical images, with a focus on its potential to improve diagnostic accuracy, efficiency, and patient outcomes. The project will involve a comprehensive review of existing literature on AI applications in medical image analysis, including studies that have utilized techniques such as machine learning, deep learning, and computer vision. By analyzing the methodologies and outcomes of these studies, the project aims to identify trends, challenges, and opportunities in the field. Furthermore, the research will involve the development of a prototype AI system for the analysis of medical images, which will be trained and tested using a dataset of images obtained from various medical imaging modalities. The performance of the AI system will be evaluated based on metrics such as accuracy, sensitivity, and specificity, and compared against human experts to assess its efficacy. The potential impact of AI in medical image analysis is significant, with the ability to assist radiologists and other healthcare professionals in interpreting complex images more accurately and efficiently. By leveraging AI technologies, healthcare providers can potentially reduce diagnostic errors, expedite the interpretation process, and improve overall patient care. In conclusion, this research project aims to contribute to the growing body of knowledge on the applications of AI in healthcare, specifically in the analysis of medical images. By exploring the current state of the art, developing a prototype AI system, and evaluating its performance, the project seeks to provide insights that can inform future research and clinical applications in this field. Ultimately, the goal is to harness the power of AI to enhance diagnostic capabilities, improve healthcare outcomes, and ultimately benefit patients and healthcare providers alike.

Thesis Overview