In contemporary discussions about artificial intelligence in healthcare, experts emphasize the dual role of AI technologies as both tools for enhancing patient care and potential sources of ethical dilemmas. Various studies indicate that AI can improve diagnostic accuracy, personalize treatment plans, and streamline administrative tasks, ultimately leading to better health outcomes. However, these advancements raise critical questions about data privacy, decision-making accountability, and the potential biases embedded in AI algorithms. As healthcare systems increasingly integrate these technologies, stakeholders must navigate the intricate balance between innovation and responsibility.