Thesis Abstract

Abstract
The development of artificial intelligence (AI) has significantly impacted various industries, including healthcare. AI technologies such as machine learning, natural language processing, and computer vision have been leveraged to improve healthcare services and outcomes. This research project aims to explore the applications of AI in healthcare, focusing on its use in medical imaging analysis, drug discovery, personalized treatment plans, and patient data management. The study will investigate how AI can enhance diagnostic accuracy, optimize treatment strategies, and streamline administrative processes in healthcare settings. By analyzing case studies and existing literature, this research will provide insights into the benefits and challenges of integrating AI in healthcare. Additionally, the project will assess the ethical implications of AI adoption in healthcare, addressing concerns related to data privacy, algorithm biases, and patient trust. Overall, this research seeks to contribute to the growing body of knowledge on AI applications in healthcare and offer recommendations for healthcare providers and policymakers on effectively incorporating AI technologies to enhance patient care and operational efficiency.

Thesis Overview