New Pediatric Brain Tumor Model Enhances Drug Testing
New pediatric brain tumor model improves drug testing. Developed by University of Trento and Bambino GesΓΉ Hospital. π§ π
May 14, 2026
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Discover the newest research about AI innovations in πΆ Pediatrics.
AI Enhances Pediatric Diagnosis Accuracy
AI improves pediatric diagnosis accuracy, addressing challenges with rare diseases and enhancing treatment timeliness. π€πΆ
May 13, 2026
Automated Detection of Patent Ductus Arteriosus in Pediatric Patients Using Doppler Ultrasonography Videos Based on a Transformer Model.
Automated PDA detection via Doppler ultrasound achieves 95% AUC using TimeSformer model. Promising for pediatric heart care! π©Ίπ
May 13, 2026
Diagnostic accuracy of artificial intelligence versus 263 pediatric clinicians for childhood exanthems.
AI vs. Pediatric Clinicians: ChatGPT (86.9%) and Gemini (82.0%) excel in diagnosing childhood exanthems. π€πΆ
May 11, 2026
Artificial intelligence in cancer survivorship: evaluating ChatGPT’s performance in rehabilitation-related queries.
AI in Cancer Rehab: ChatGPT’s Accuracy at 3.93/5 π, Completeness 2.13/3 π, Global Quality 3.60/5 π.
April 18, 2026
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. π§ π»
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. ππΆ
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! ππ©»
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 AydΔ±n & Naz’s study. ππΆ
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! π¦·π
January 12, 2026