Lifelike fetal 3D models show anatomical details that help surgeons prepare and predict challenges for delicate and complicated surgery.
Researchers have developed a novel skin-mounted sticker that absorbs sweat and then changes color to provide an accurate, easy-to-read diagnosis of cystic fibrosis within minutes.
Virtual reality avatar-based coaching shows promise to increase access to nutrition education to children at risk for obesity,
Researchers have developed the first wearable devices to precisely monitor jaundice, a yellowing of the skin caused by elevated bilirubin levels in the blood that can cause severe medical conditions in newborns.
Researchers have developed a wireless sensor that monitors the health of the baby's brain in a simple, inexpensive and comfortable way for the child.
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
Reseachers have developed robotic Trunk Support Trainer (TruST) that helps children with CP to sit more stably.
Researchers develop new machine learning approach that shows promise in predicting Necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.
Akili announced that the U.S. Food and Drug Administration (FDA) has granted clearance for EndeavorRxTM (AKL-T01) as a prescription treatment for children with attention deficit hyperactivity disorder (ADHD).
Researchers have developed a wireless monitoring system for newborn babies that can easily be implemented to provide clinical-grade care in nearly any setting.
Researchers have developed a smart jumpsuit, or a garment that accurately measures the spontaneous and voluntary movement of infants from the age of five months.
Research confirms the efficiency of using computer-based programmes and virtual reality for improving children's attention and social skills.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
Ensembles created using models submitted to the RSNA Pediatric Bone Age Machine Learning Challenge convincingly outperformed single-model prediction of bone age.
A new type of ultrasound transducer should soon be delivering a fast and reliable diagnosis of infection of the middle ear.