An artificial intelligence platform for the diagnosis and surgical planning of strabismus using corneal light-reflection photos.

ABSTRACT:

Background

Strabismus affects approximately 0.8-6.8% of the world's population and can lead to abnormal visual function. However, Strabismus screening and measurement are laborious and require professional training. This study aimed to develop an artificial intelligence (AI) platform based on corneal light-reflection photos for the diagnosis of strabismus and to provide preoperative advice.

Methods

An AI platform consisting of three deep learning (DL) systems for strabismus diagnosis, angle evaluation, and operation plannings based on corneal light-reflection photos was trained and retrospectively validated using a retrospective development data set obtained between Jan 1, 2014, and Dec 31, 2018. Corneal light-reflection photos were collected to train the DL systems for stra

SUBMITTER: Mao K 

PROVIDER: S-EPMC8033395 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature