Artificial Intelligence for Pediatric Ophthalmology

Julia E. Reid; Eric Eaton


Curr Opin Ophthalmol. 2019;30(5):337-346. 

In This Article


There is a large potential for current and future artificial intelligence applications to pediatric ophthalmology, and there are some diseases, such as NLDO, congenital glaucoma, and congenital ptosis, without any published applications of artificial intelligence to our knowledge. Automated disease detection, the most common use case, could augment telemedical efforts to broaden access to care, improve efficiency, and result in earlier diagnoses. However, other less-utilized capabilities of this technology, including disease grading and outcome prediction, have the potential to enhance clinical care. All artificial intelligence methods deployed in clinical care must ultimately match or surpass physician performance while meeting the unique requirements of both clinicians and pediatric patients, suggesting the need to augment evaluations on experimental data sets with clinical trials.