Applying Artificial Intelligence to Pediatric Chest Imaging: Reliability of Leveraging Adult-Based Artificial Intelligence Models

Will artificial intelligence widen the therapeutic gap between children and adults?

“… 9 , 10 Similarly, a model developed to identify pneumonia in adults underperformed a comparative model developed for children when applied to a pediatric population. 11 While only a few studies to date have specifically evaluated the impact of excluding children from AI development, 9 , 10 there is strong evidence of bias and poor performance in patients from under‐represented racial, ethnic, and geographic backgrounds as a result of these groups being excluded from model development. 12 , 13 Even if a disease is present in both adults and children, such as sepsis or pneumonia, the clinical manifestations may be different and cannot be assumed from adult data if children are not included in the development.…”