AI-Enabled Predictive Maintenance for Medical Imaging Equipment

Abstract

This paper proposes AI-driven predictive maintenance strategies for medical imaging equipment to minimize downtime. The use of artificial intelligence (AI) in predictive maintenance can significantly improve the efficiency and reliability of medical imaging devices, ensuring uninterrupted operation and reducing maintenance costs. The study explores various AI techniques, including machine learning and deep learning, for predicting equipment failures before they occur. A case study is presented to demonstrate the effectiveness of the proposed approach in a real-world healthcare setting. The findings highlight the potential of AI-enabled predictive maintenance in enhancing the performance and longevity of medical imaging equipment, ultimately benefiting healthcare providers and patients.