Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment.

For assessing the clinical signs of trachoma, a convolutional neural net performed well above chance when tested against expert consensus. Further improvements in specificity may render this method suitable for field use.