A system of remotely detecting vocal fold pathologies using telephone quality speech is presented. Using VoiceXML, 631 clean speech files of the sustained phonation of the vowel sound /a/ (58 normal subjects, 573 pathologic) from the Disordered Voice Database Model 4337 were transmitted over telephone channels to produce a test corpus. Pitch perturbation features, amplitude perturbation features and a set of measures of the harmonic-to-noise ratio were extracted from the clean and transmitted speech files. These feature sets were used to test and train automatic classifiers, employing the method of linear discriminant analysis. Cross-fold validation was employed to measure classifier performances. While a sustained phonation can be classified as normal or pathologic with accuracy greater than 90%, results indicate that a telephone quality speech can be classified as normal or pathologic with an accuracy of 74.15%. Amplitude perturbation features proved most robust in channel transmission. This study highlights the real possibility for remote diagnosis of voice pathology.