In recent years, advancements in technology have led to the creation of two new smartphone apps that have the potential to significantly impact pediatric care. These innovative apps offer small-scale solutions with far-reaching implications.

The first app, developed by clinicians at the University of Pittsburgh, utilizes an artificial intelligence (AI) algorithm to detect acute otitis media (AOM) in young children. AOM is a common childhood infection that affects approximately 70% of children before their first birthday. The new app allows clinicians to easily analyze a patient’s eardrum through an otoscope connected to a camera, resulting in a 93% success rate in identifying AOM. This is a significant improvement compared to the success rate of expert physicians, which typically ranges from 30% to 48%. With this tool, clinicians can quickly and accurately diagnose ear infections without the challenges of examining a squirming infant.

The second app, developed by Intermountain Health in partnership with Picterus AS, a Norwegian digital health company, focuses on detecting jaundice in newborns. Jaundice affects approximately three out of every five babies in the US shortly after birth and can lead to serious health complications if left untreated. The app uses a smartphone camera in conjunction with a laminated card to measure bilirubin levels in newborns, allowing for a quick and easy diagnosis without the need for a hospital visit for a blood test. This technology enables parents to monitor their babies at home and promptly alert healthcare providers if jaundice is detected.

Marie DeFreitas, an associate content specialist at HealthLeaders, emphasizes the importance of these new smartphone apps in revolutionizing pediatric care and providing accessible and efficient solutions to common childhood health issues. By utilizing AI algorithms and smartphone technology, these apps are changing the way healthcare providers diagnose and treat common childhood illnesses