This paper examines the potential of Artificial Intelligence (AI) and Machine Learning (ML) in reducing the risk of human error in Total Parenteral Nutrition (TPN) management. It discusses the current state of the technology in this field and explores the benefits and limitations of AI and ML in TPN. The goal is to provide insights into the future of this important area and how AI and ML can help improve the safety and accuracy of TPN.