Artificial intelligence in cancer survivorship: evaluating ChatGPT’s performance in rehabilitation-related queries.
AI in Cancer Rehab: ChatGPT’s Accuracy at 3.93/5 📊, Completeness 2.13/3 📋, Global Quality 3.60/5 🌟.
April 18, 2026
Follow us
latest articles
Discover the newest research about AI innovations in 👶 Pediatrics.
Enhancing Digital Integration in Child Mental Health Services
Digital integration in child mental health services is crucial. Hayley Payne emphasizes that a transactional approach may lead to failure. 🧠💻
April 5, 2026
Harris Health Alliance Acquires eRedbook for Enhanced Child Health Services
Harris Health Alliance has acquired eRedbook, improving digital child health records for better services. 📊👶
March 24, 2026
Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation.
AI Enhances Spine Alignment Assessment: 90.18% Sensitivity Achieved! 📊🩻
March 21, 2026
Can large language models provide quality, reliable and readable information about sudden infant death syndrome?
Large language models may offer reliable insights on SIDS, but quality varies. Key findings from Aydın & Naz’s study. 📊👶
January 24, 2026
Multi-Architecture Deep Learning for CBCT Segmentation of Dental Hard Tissues and Pulp in Mixed Dentition.
Deep learning models enhance pediatric dental imaging accuracy: ResEncM achieves DSC 0.9859 for permanent teeth! 🦷📊
January 12, 2026
Health Tech Suppliers Share Insights for 2026
Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻
January 2, 2026
Specialty-Specific Citation-Enabled AI Clinical Decision Support System for Craniofacial Surgery: Development of CASPER.
CASPER: A groundbreaking AI tool for craniofacial surgery, achieving 0.89 SEM-eval with 8561 articles! 🤖📚
December 24, 2025
Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.
AI & Radiogenomics in Pediatric CNS Tumors: 2021 WHO guidelines enhance diagnosis via molecular profiling. Promising future ahead! 🧠✨
November 23, 2025
Machine learning models incorporating genotype and ancestry improve severe asthma risk prediction.
Machine learning enhances severe asthma risk prediction by integrating genotype and ancestry data. AUC improved from 0.693 to 0.729! 📊✨
November 18, 2025