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Artificial Intelligence and Digital Health in Pediatrics

Technological innovation is reshaping pediatric care, and artificial intelligence and digital health in pediatrics are accelerating diagnostic accuracy, treatment personalization, and clinical efficiency. AI-powered tools assist in early detection of conditions such as autism, retinopathy of prematurity, and congenital heart anomalies using imaging and predictive analytics. Digital health platforms—ranging from wearable monitors to mobile apps—support remote monitoring, medication adherence, and health education. In neonatal intensive care units, machine learning algorithms optimize ventilator settings and predict sepsis risk in real time. Integration of electronic health records with AI facilitates population-level insights and streamlined workflows. Artificial intelligence and digital health in pediatrics enhance decision-making, reduce disparities in access, and support a proactive, data-driven approach to child health management.

Committee Members
Speaker at Pediatrics and Neonatology 2026 - Renee J Dufault

Renee J Dufault

Food Ingredient and Health Research Institute, United States
Speaker at Pediatrics and Neonatology 2026 - Ann L Smith

Ann L Smith

Novant Health Forsyth Medical Center, United States
Speaker at Pediatrics and Neonatology 2026 - Zhenhuan Liu

Zhenhuan Liu

Guangzhou University of Chinese Medicine, China
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