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Figure 1. Smart insulin pumps are already on the market and have a significant impact on patients with diabetes
The role of Edge computing in medical IoT devices With rising costs and resource shortages, particularly in personnel, more healthcare services are turning to scalable and efficiency-enhancing technologies. This impetus has given rise to the Medical Internet of Things (MIoT or IoMT) – an ecosystem of interconnected devices that promise enhanced patient care, real-time diagnostics, and streamlined operations, within and beyond a clinical setting.
By Mark Patrick, Director of Technical Content, EMEA, Mouser Electronics
D espite its relative immaturity, the MIoT market is projected to reach a revenue of $83.81 billion by 2024 and to grow at a compound annual growth rate (CAGR) of 9.91% from 2024 to 2029, leading to a market volume of $134.40 billion (Statista). The exceptional growth of MIoT in healthcare underscores its increasing importance, but the technology's success relies on its ability to meet several complex requirements. In medical environments where accurate, efficient, and cost-effective solutions are critical, the importance of local and
real-time data processing is evident. This is where Edge artificial intelligence (AI) plays a critical role in the success of both today’s and future MIoT devices, enabling faster decision-making, reducing latency, improving energy efficiency, and enhancing data security. Understanding the healthcare challenges that need to be addressed Rising populations and longer life expectancies, often combined with
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