Artificial intelligence (AI) is transforming healthcare by significantly enhancing clinical decision support systems (CDSS). AI technologies, including machine learning algorithms, natural language processing, and deep learning, enable CDSS to analyze vast amounts of healthcare data with unprecedented speed and accuracy. This integration allows for personalized treatment recommendations, improved diagnostics, risk prediction, and early intervention. AI-driven CDSS can assist healthcare professionals by providing real-time insights and assistance across various medical practices, from diagnostic support to personalized treatment plans. However, challenges such as interpretability and bias must be addressed to ensure the effective and ethical integration of AI into clinical workflows. User-centered design is crucial, focusing on usability, trust, and workflow alignment to facilitate successful AI-CDSS adoption. As AI continues to evolve, it holds the potential to revolutionize healthcare delivery by optimizing patient care and outcomes, but it requires ongoing research and collaboration to fully realize its benefits.