| Abstract | The integration of artificial intelligence (AI) into supply chain management (SCM) has revolutionized healthcare
logistics, particularly in the early detection and eradication of lung cancer. AI-driven technologies such as machine
learning (ML), deep learning, and predictive analytics enhance efficiency in the procurement, distribution, and
deployment of diagnostic tools and treatment resources. This paper explores the role of AI in optimizing healthcare
supply chains, ensuring the timely availability of diagnostic imaging, biopsy kits, and targeted therapies. We also
examine AI’s role in real-time tracking of medical inventory, predictive maintenance of medical equipment, and
automation of early detection algorithms to facilitate prompt intervention. By leveraging AI-driven SCM, healthcare
systems can improve patient outcomes through enhanced diagnostic accuracy and treatment accessibility.
Keywords: Artificial Intelligence, Supply Chain Management, Lung Cancer Detection, Predictive Analytics, Machine
Learning, Early Diagnosis, Deep Learning, Medical Supply Chain
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