Vol. 6, Issue 1, Part B (2024)

The rapid advancement of Artificial Intelligence (AI) has revolutionized the sphere of Biomedical Equipment Maintenance Management (BEMM), providing remarkable possibilities to enhance efficiency, accuracy, and ordinary overall performance. This abstract presents a top-level view of the massive strides in incorporating AI into BEMM practices. AI applications in BEMM consist of predictive protection fashions leveraging device-to-know algorithms to research historic gadget statistics, become aware of patterns, and expect capacity disasters, thereby enabling proactive upkeep interventions. Furthermore, AI-driven robotic systems have emerged to automate ordinary renovation responsibilities, minimizing human intervention and decreasing downtime. Integration of natural language processing enables green communication between technicians and AI structures, streamlining troubleshooting and selection-making tactics. AI-based picture recognition technology contributes to diagnostic competencies, allowing fast and correct identification of faulty components. The amalgamation of AI and the Internet of Things (IoT) in BEMM facilitates actual-time tracking of the system's overall performance, making an allowance for facts-pushed choice-making and optimizing protection schedules. Despite these improvements, demanding situations including records protection, moral issues, and the need for professional personnel to manage AI systems persist. This abstract highlights the transformative potential of AI in BEMM, emphasizing its position in predictive preservation, automation, conversation enhancement, and diagnostic accuracy, at the same time as acknowledging the want for addressing associated demanding situations to fully harness its blessings inside the biomedical system protection area.