Abstract

Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, optimizing treatment plans, and improving patient outcomes. This paper explores AI's transformative impact across various medical domains, including radiology, drug discovery, personalized medicine, and administrative efficiency. By analyzing 25 peer-reviewed studies, we evaluate AI applications such as machine learning (ML), natural language processing (NLP), and robotic process automation (RPA) in clinical and operational settings. While AI offers significant benefits—including early disease detection, reduced medical errors, and cost savings—ethical concerns, data privacy issues, and implementation challenges remain critical considerations. The study concludes with policy recommendations for responsible AI integration in healthcare systems worldwide.