Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs

• Published in: Scientific reports Vol. 12; no. 1; pp. 10215 - 8
• Main Authors: Shin, Hyun Joo, Son, Nak-Hoon, Kim, Min Jung, Kim, Eun-Kyung
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 17.06.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 692/308/3187; 692/699/1785; Artificial intelligence; Atelectasis; Chest; Children; Fibrosis; Humanities and Social Sciences; Lesions; multidisciplinary; Pediatrics; Pleural effusion; Pneumothorax; Radiography; Science; Science (multidisciplinary); Software

Artificial intelligence (AI) applied to pediatric chest radiographs are yet scarce. This study evaluated whether AI-based software developed for adult chest radiographs can be used for pediatric chest radiographs. Pediatric patients (≤ 18 years old) who underwent chest radiographs from March to May...