Discover the newest research about AI innovations in 👶 Pediatrics.
Large language models may offer reliable insights on SIDS, but quality varies. Key findings from Aydın & Naz’s study. 📊👶
Deep learning models enhance pediatric dental imaging accuracy: ResEncM achieves DSC 0.9859 for permanent teeth! 🦷📊
Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻
CASPER: A groundbreaking AI tool for craniofacial surgery, achieving 0.89 SEM-eval with 8561 articles! 🤖📚
AI & Radiogenomics in Pediatric CNS Tumors: 2021 WHO guidelines enhance diagnosis via molecular profiling. Promising future ahead! 🧠✨
Machine learning enhances severe asthma risk prediction by integrating genotype and ancestry data. AUC improved from 0.693 to 0.729! 📊✨
Exploring digital health innovations for equitable pediatric care in racialized communities. 📱👶 Insights from a BC study.
Children’s drug development: 32.7% tumor reduction via imaging data. Optimized pricing ensures accessibility and R&D efficiency. 📉💊
AI tools can now identify young children at high risk for severe asthma and respiratory infections. Early detection is crucial. 🌬️👶
Exploring childhood vasculitis: recent advances in diagnosis, treatment, and future directions. 📊🩺
