Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review.

ABSTRACT: Most artificial intelligence (AI) studies have focused primarily on adult imaging, with less attention to the unique aspects of pediatric imaging. The objectives of this study were to (1) identify all publicly available pediatric datasets and determine their potential utility and limitations for pediatric AI studies and (2) systematically review the literature to assess the current state of AI in pediatric chest radiograph interpretation. We searched PubMed, Web of Science and Embase to retrieve all studies from 1990 to 2021 that assessed AI for pediatric chest radiograph interpretation and abstracted the datasets used to train and test AI algorithms, approaches and performance metrics. Of 29 publicly available chest radiograph datasets, 2 datasets included solely pediatric chest radiograp

SUBMITTER: Padash S 

PROVIDER: S-EPMC9033522 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature