THE APPLICATION AND FUTURE PROSPECTS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE

Abstract

This paper examines the application and future prospects of artificial intelligence (AI) in healthcare, focusing on its role in improving diagnostic accuracy, treatment effectiveness, and healthcare management. AI technologies, including machine learning, deep learning, and natural language processing, enable the analysis of large volumes of medical data, supporting early disease detection and evidencebased clinical decision-making. The study highlights key application areas such as medical imaging, predictive analytics, personalized medicine, drug discovery, and telemedicine. In addition, the paper discusses the benefits of AI in reducing human error, optimizing healthcare resources, and enhancing patient outcomes. Despite these advantages, challenges such as data privacy, ethical concerns, high implementation costs, and the need for regulatory frameworks are also addressed. The findings suggest that the integration of AI into healthcare systems has significant potential to transform medical practice and improve global health outcomes, provided that technological advancements are aligned with ethical and legal standards