Advancements in have revolutionized healthcare by enhancing diagnostic accuracy, streamlining workflows, and improving patient outcomes. This systematic review evaluates the impact of AI applications across various domains, including disease diagnosis, personalized treatment, and administrative efficiency. A comprehensive analysis of 120 peer-reviewed studies published between 2015 and 2023 was conducted. The findings highlight significant improvements in diagnostic precision for conditions such as cancer and cardiovascular diseases, with AI achieving accuracy rates comparable to or exceeding those of medical professionals. Additionally, AI-driven tools demonstrated a reduction in administrative burdens, allowing healthcare providers to allocate more time to patient care. Despite these advancements, challenges such as data privacy concerns, algorithmic bias, and integration with existing systems persist. The review underscores the need for robust ethical guidelines and interdisciplinary collaboration to fully realize the potential of AI in healthcare. Future research should focus on scalable solutions and equitable access to AI technologies.