Artificial Intelligence in Pediatrics

Artificial Intelligence in Pediatrics explores the application of machine learning, predictive analytics, and digital technologies in pediatric healthcare. AI-driven systems are increasingly being used for disease diagnosis, medical imaging analysis, clinical decision support, and personalized treatment planning. These technologies have the potential to improve healthcare efficiency, enhance diagnostic accuracy, and support early intervention strategies in pediatric medicine.

Research in artificial intelligence is transforming pediatric healthcare through innovations in predictive modeling, robotic assistance, and remote patient monitoring. AI applications are also supporting neonatal intensive care, genetic analysis, mental health assessments, and chronic disease management. Ethical considerations, data privacy, and equitable access to AI-driven healthcare remain important areas of discussion. This track highlights technological advancements, research breakthroughs, and future opportunities for integrating artificial intelligence into pediatric and neonatal healthcare systems

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