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Track 10: AI and Digital Innovations in Child Health

Track 10: AI and Digital Innovations in Child Health

AI and Digital Innovations in Child Health

The rapid evolution of artificial intelligence (AI) and digital health technologies is transforming pediatric healthcare worldwide. From early diagnosis to personalized treatment, AI-driven solutions are enabling clinicians to make more accurate, data-informed decisions that improve outcomes for children.

Digital innovations—such as wearable health monitors, telemedicine platforms, and mobile health (mHealth) applications—are enhancing accessibility and continuity of care, particularly in remote and underserved regions. AI algorithms are increasingly used to detect developmental delays, predict disease risk, and analyze medical imaging for early signs of conditions like autism, congenital disorders, or respiratory illnesses.

Moreover, digital tools empower parents and caregivers through real-time health tracking, virtual consultations, and AI-based symptom checkers, promoting proactive and preventive healthcare approaches. These technologies also support pediatric mental health through digital therapy platforms and behavior-monitoring applications.

However, integrating AI and digital tools into child health practice requires addressing ethical considerations, data privacy, and equitable access. Collaboration between healthcare professionals, data scientists, and policymakers is crucial to ensure these innovations are safe, inclusive, and beneficial for all children.