Development and Validation of Baby Go App Using AI for Remote Infant Motor Screening for Term and Preterm Infants Aged 2 to 18 Months

What this Trial Is About

Researchers are evaluating a new approach to early infant motor development screening using an artificial intelligence AI algorithm combined with a mobile application called Baby Go version 3.0. This observational study focuses on infants aged 2 to 18 months, including both term and preterm infants, aiming to improve early detection and follow-up of motor disorders. The study also compares parental reports with AI-driven assessments and investigates the usability of the app for parents and clinicians. The study involves parents using the Baby Go app at home to record videos of their infants movements in various positions, such as prone, supine, sitting, and standing, every two weeks between 2 and 18 months of age. These videos are uploaded through the app for AI analysis and comparison with trained physiotherapist annotations. The study includes around 100 preterm infants, 20 term infants, 120 parents, and 2 clinicians. The app also provides educational and follow-up functions to support parents. Participants will be assessed using the Alberta Infant Motor Scale and walking age attainment measures. Parents and clinicians will complete surveys about their experience with the app at specific infant ages. The study will analyze AI model accuracy, parental perception, and the predictive validity of motor assessments. Overall, the study involves remote monitoring, video evaluations, user feedback, and data analysis over the infants first 18 months.

Combined Artificial Intelligence and Mobile Application for Remote Infant Motor Screening: Development and Validation