Efficient inventory management is crucial in the healthcare industry to ensure the availability of essential medications and medical supplies while minimizing wastage and reducing costs. This study explores the role of Artificial Intelligence (AI) in optimizing inventory management and enhancing supply chain resilience within healthcare settings. By leveraging AI-driven solutions, healthcare organizations can improve demand forecasting, streamline supply chain operations, and minimize medication waste. Incorporating AI technologies, including machine learning and predictive analytics, allows for more precise demand forecasting, minimizes the chances of both overstocking and stockouts, and enhances overall operational efficiency. The research further examines the theoretical frameworks of Resource-Based View (RBV) and Systems Theory to highlight the strategic and systemic benefits of AI in healthcare inventory management. Empirical evidence from recent studies underscores the potential of AI to transform healthcare supply chains, promoting sustainability and improved patient care. This study employs a survey research design targeting healthcare professionals in the United States, with data analyzed through machine learning algorithms to identify key patterns and insights. Ethical considerations, including data privacy and informed consent, are meticulously adhered to, ensuring the integrity of the research process.