Scientific Sessions

Artificial intelligence (AI) and digital technologies are revolutionizing pediatric and neonatal healthcare by enhancing diagnostic accuracy, personalizing treatment, and improving patient outcomes. AI-powered tools, including machine learning algorithms and predictive analytics, are increasingly used to identify patterns in medical imaging, electronic health records, and genetic data. In neonatology, these technologies support early detection of conditions such as sepsis, respiratory distress, and congenital anomalies, enabling timely interventions that can significantly improve survival and long-term development. Digital health platforms also facilitate remote monitoring of vital signs, growth parameters, and medication adherence, allowing clinicians to provide continuous care even beyond hospital settings.

Telemedicine, mobile health applications, and wearable devices have further transformed pediatric care by improving access to specialist consultations, enhancing patient engagement, and enabling data-driven decision-making. Virtual reality and simulation-based training provide interactive learning opportunities for pediatric healthcare professionals, improving clinical skills and preparedness for complex procedures. Additionally, AI can help optimize hospital workflows, resource allocation, and predictive risk modeling, increasing efficiency in pediatric and neonatal care units. By integrating AI and digital innovations with clinical expertise, healthcare providers can deliver more precise, timely, and individualized care, ultimately advancing outcomes and shaping the future of child and neonatal health worldwide.