Paper Title
Smart Pediatric Care: AI-Powered Portable MCOT Devices for Efficient and Affordable Arrhythmia Detection

Abstract
Advancements in wearable technology have significantly improved the detection and management of pediatric arrhythmia's. A recent case study highlights the benefits of this technology in a 16-year-old patient diagnosed with ventricular tachycardia continuous monitoring with non- invasive devices allows for early identification of Arrhythmia, facilitating timely interventions without the need for frequent hospital visits. These devices seamlessly integrate with clinical decision support systems, enabling healthcare providers to make informed decisions and provide appropriate care. The user-friendly design of these technologies ensures minimal disruption to patients' daily lives, promoting adherence to long-term monitoring regimens. Moreover, the cost- effectivenessofthesewearablesolutionsmakesthemaccessibletoawiderpopulation, enhancing the overall quality of care for pediatric patients with arrhythmia's. Keywords - Wearable Patch, Clinical Decision Support System, Parental Satisfaction, Cost-Effective Solution, Long-Term Monitoring.