Smart devices have become, in recent years, a fundamental pillar in the development of modern healthcare systems, particularly in the field of child health. They have contributed to a significant transformation in methods of monitoring and early assessment of both physical and cognitive development. Wearable technologies such as smart medical watches and biosensors enable continuous measurement of vital signs, including heart rate, blood oxygen saturation, physical activity levels, and sleep patterns. This continuous monitoring provides a comprehensive overview of a child’s health status. Such real-time data allow parents and healthcare professionals to detect abnormal changes early, facilitating timely intervention and reducing the risk of potential complications. Smart devices also play a crucial role in monitoring physical growth through specialized applications that record height, weight, and head circumference, comparing them with internationally recognized growth charts. These applications often rely on data analysis techniques and intelligent algorithms to generate alerts when noticeable deviations from normal growth patterns occur. Furthermore, integrating this information with electronic health records enhances the accuracy of medical evaluations and supports efficient follow-up during routine clinical visits. In terms of cognitive and mental development, technology has introduced advanced interactive and educational applications specifically designed for different age groups. Some systems employ artificial intelligence to analyze a child’s responses, comprehension speed, and interaction patterns in order to assess attention span, memory, language acquisition, and problem-solving skills. Additionally, augmented reality tools and intelligent educational games stimulate cognitive growth in engaging and adaptive ways, while providing measurable performance indicators that track developmental progress over time. Beyond physical and cognitive aspects, smart technologies also contribute to monitoring children’s psychological and behavioral health by analyzing sleep quality, activity levels, and behavioral trends. Through the integration of big data analytics and machine learning models, these systems can identify early indicators of anxiety, sleep disorders, or attention-deficit hyperactivity disorder. This predictive capability supports healthcare professionals in designing personalized intervention strategies tailored to each child’s needs. The integration of smart devices, cloud connectivity, and advanced data analytics has shifted pediatric healthcare from a model dependent solely on periodic clinical visits to one characterized by continuous and personalized monitoring. Nevertheless, ethical considerations, data privacy protection, and responsible use remain essential to ensure that technology enhances rather than replaces natural social interaction and balanced childhood development. Ultimately, smart devices represent a supportive and complementary tool to traditional medical care, contributing to improved quality of life and holistic healthy growth for children at both physical and cognitive levels. Al-Mustaqbal University is the first one university in Iraq.