An artificial intelligence platform for the screening and managing of strabismus.

ABSTRACT:

Objectives

Considering the escalating incidence of strabismus and its consequential jeopardy to binocular vision, there is an imperative demand for expeditious and precise screening methods. This study was to develop an artificial intelligence (AI) platform in the form of an applet that facilitates the screening and management of strabismus on any mobile device.

Methods

The Visual Transformer (VIT_16_224) was developed using primary gaze photos from two datasets covering different ages. The AI model was evaluated by 5-fold cross-validation set and tested on an independent test set. The diagnostic performance of the AI model was assessed by calculating the Accuracy, Precision, Specificity, Sensitivity, F1-Score and Area Under the Curve (AUC).

Results

A total of 6194 ph

SUBMITTER: Wu D 

PROVIDER: S-EPMC11543679 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature