A surge in AI-driven multi-modal sensing tools is revolutionizing pediatric diagnostics and monitoring —combining imaging, biosensors, and big data for faster, more accurate assessment of conditions from congenital heart defects to chronic diseases. These innovations offer clinicians powerful new means to deliver personalized, child-centered care and proactively address complications. To read more Click Here ##Reference## Park T, Lee IH, Lee SW, Kong SW. Artificial intelligence in pediatric healthcare: current applications, potential, and implementation considerations.
Clin Exp Pediatr. 2025;68(9):641-651. doi:10.3345/cep.2025.00962.## Where is AI most likely to have transformative impact in pediatrics? a) Multi-modal real-time monitoring b) Paper-based screening c) Routine manual measurements d) Solely symptom-based assessment
