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Enhanced Smart System

Enhanced Smart System (ESS) is a high-impact, peer-reviewed, open-access journal committed to advancing research in smart technologies and intelligent automation. This journal serves as a hub for scholars, engineers, and industry professionals to explore innovations in enhanced computing systems, AI-driven automation, and smart infrastructure. ESS aims to bridge theoretical advancements with real-world applications, fostering a deeper understanding of how AI and machine learning reshape modern systems across industries.

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About the Journal

Enhanced Smart System (ESS) is a high-impact, peer-reviewed, open-access journal committed to advancing research in smart technologies and intelligent automation. This journal serves as a hub for scholars, engineers, and industry professionals to explore innovations in enhanced computing systems, AI-driven automation, and smart infrastructure. ESS aims to bridge theoretical advancements with real-world applications, fostering a deeper understanding of how AI and machine learning reshape modern systems across industries.

Current Issue

Vol. 1 No. 2 (2024): Advancements in Smart Healthcare Systems: Integrating IoT, AI, and Emerging Technologies
AI

The integration of IoT, AI, and emerging technologies is revolutionizing the healthcare sector by creating smart healthcare systems that are more efficient, personalized, and accessible. At the forefront of this transformation is the Internet of Things (IoT), which enables real-time data collection through devices such as wearable health trackers and smart sensors. These devices continuously monitor vital health metrics like heart rate and blood pressure, providing healthcare professionals with instant insights into a patient's condition. This real-time monitoring allows for early intervention, reducing hospital visits and improving patient outcomes by enabling swift adjustments to treatment plans based on current health data.

Artificial Intelligence (AI) plays a pivotal role in enhancing these systems by integrating with IoT devices to analyze the vast amounts of data collected. AI algorithms can predict health issues, automate routine tasks, and offer personalized treatment recommendations. For instance, AI-driven predictive analytics can identify patients at risk of complications post-surgery or those likely to experience disease recurrence, allowing healthcare providers to take proactive measures36. Furthermore, AI-powered platforms are advancing personalized medicine by supporting the discovery of tailored therapies through multimodal data analysis and predictive modeling for drug development3.

The convergence of these technologies is also transforming healthcare infrastructure. Smart hospitals are emerging as hubs where IoT devices work in harmony to optimize resource allocation and improve patient care. The integration of IoT with electronic health records (EHR) systems ensures seamless access to comprehensive patient data, facilitating better decision-making and faster diagnoses. Additionally, advancements in 5G connectivity are enhancing the reliability and speed of communication between devices, further improving telemedicine applications and real-time monitoring capabilities

As healthcare technology continues to evolve, challenges such as interoperability, scalability, and security remain crucial. However, innovations like the Internet of Medical Things (IoMT) are creating a more connected and efficient healthcare ecosystem. IoMT devices, including wearable fitness trackers and smart implants, are revolutionizing patient monitoring and treatment by providing continuous health data and enabling real-time analysis4. This integration of cutting-edge technologies promises to make healthcare delivery more efficient, equitable, and patient-focused, bridging gaps in care for chronic conditions and improving overall patient outcomes

Published: 2025-03-23

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