The fast advancement of artificial intelligence (AI) has transformed multiple industries, including healthcare. AI has demonstrated huge potential in enhancing clinical workflows, improving patient outcomes, and optimizing resource allocation. From assisting in diagnostics to predicting disease outbreaks, AI-driven technologies offer extraordinary opportunities for healthcare providers (Computer, 2024). However, as AI continues to evolve, concerns regarding data security, algorithmic bias, and ethical implications arise (Weidener & Fischer, 2024). The use of AI in healthcare is becoming more necessary as the volume of medical data grows more and more. AI systems help process massive amounts of data, draw out meaningful insights, and support medical professionals in making informed decisions. Yet, the successful merging of AI into healthcare systems depends on addressing many challenges related to security, ethics, and legal compliance. This paper aims to explore the impact of AI in healthcare, emphasizing its applications, challenges, and prospects for future integration. Through an in-depth analysis, this paper will provide insights into how AI can improve medical practice while ensuring patient safety and obedience with standards.