The aspect of predictive maintenance of Medical Internet of Things (MIoT) devices may be discussed as a significant enhancement of the healthcare technology management. The predictive maintenance concerning the integration of IoT sensors with Artificial Intelligence (AI) and Machine Learning (ML) will enable data to be obtained in real-time and predictive faults and data-driven decisions about necessary medical devices. This would save time, maintenance cost and enhance patient safety by making the device reliable at all times. The chapter explores the architecture, technologies, problems, and applications of predictive maintenance in healthcare settings with an emphasis on how this concept may be used to switch between reactive and proactive maintenance methods and support intelligent, efficient, and sustainable medical regimes in the digital age.