Thesis Abstract

Abstract
The use of artificial intelligence (AI) in healthcare has gained significant attention in recent years due to its potential to revolutionize the industry. This research project focuses on exploring the impact of AI on improving medical diagnosis and treatment outcomes. The study examines various AI technologies such as machine learning, natural language processing, and computer vision in the context of healthcare applications. The research methodology involves a comprehensive literature review to analyze the existing studies and reports on the use of AI in healthcare. The findings suggest that AI has the potential to enhance medical decision-making by analyzing large datasets quickly and accurately. AI algorithms can assist healthcare professionals in diagnosing diseases, predicting patient outcomes, and personalizing treatment plans based on individual patient data. Moreover, the research highlights the challenges and limitations associated with the implementation of AI in healthcare, including data privacy concerns, regulatory issues, and the need for transparent and ethical AI algorithms. The study emphasizes the importance of addressing these challenges to ensure the successful integration of AI technologies into clinical practice. Overall, the research underscores the transformative potential of AI in healthcare and the need for collaboration between technology developers, healthcare providers, and policymakers to harness the benefits of AI while mitigating potential risks. By leveraging AI tools effectively, healthcare organizations can improve patient outcomes, optimize resource allocation, and enhance overall quality of care.

Thesis Overview