AI-driven innovations in pediatric ultrasound imaging and analysis

Announcing a new article publication for BIO integration Magazine. The emerging application of artificial intelligence (AI) in pediatric ultrasound has shown significant potential to improve diagnostic accuracy and efficiency, particularly in addressing the challenges of conventional ultrasound in terms of operator dependency, inconsistent image quality, and limited quantitative analysis capabilities.

These limitations arise from the inherent complexity of pediatric ultrasound image interpretation, such as: B. Organ immaturity, movement artifacts and intestinal gas interference. AI can improve structure recognition and enable automated, standardized measurements. AI applications can also help lay doctors improve diagnostic accuracy.

This review summarizes recent advances in AI applications for pediatric ultrasound in various systems, including preliminary diagnosis, screening, detailed analysis and decision support, while providing an in-depth discussion…