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.
Using a game, researchers are rehabilitating children who suffer from cognitive impairment after surviving life-threatening diseases such as malaria and HIV.
Interacting with a robotic teddy bear invented at MIT boosted young patients’ positive emotions, engagement, and activity level.
Children with autism improved measurably on a test of socialization and learning when their therapy included an at-home intervention with Google Glass.
Researchers have used artificial intelligence to detect hidden depression in young children, a condition that can lead to increased risk of substance abuse and suicide later in life if left untreated.
A video recording of an infant lying in bed can be analyzed with artificial intelligence to extract quantitative information useful for assessing the child’s development as well as the efficacy of ongoing therapy.