Abstract: The present disclosure pertains to a method for diagnosing a middle ear disease comprising receiving one or more otoscopic image of a subject, pre-processing the one or more otoscopic image to obtain image data, inputting the image data to a trained network model, generating, using the trained network model, an output that characterizes the health of the subject with respect to the middle ear disease, and generating a diagnostic result based on the output, wherein the trained network model is based on a model selected from the group consisting of a MobileNetV2 model, a NASNetMobile model, and a DenseNet201 model.

Abstract: The present invention provides a computer-implanted method and system for diagnosing sudden sensorineural hearing loss (SSNHL) of an ear in a subject; comprising on one or more processors of the computer the steps of: testing the hearing of two ears of the subject, and calculating the difference between them; and comparing the difference with a threshold to diagnose the subject as SSNHL or not.

Abstract: A hearing test and screening system for testing and screening the hearing acuity of a person which includes a computer having built therein a graphic-control program for generating a pure tone signal required for a hearing test, an audio apparatus having a connection port coupled to the computer for receiving the pure tone signal from the computer and outputting a set of test signals, each having 3 frequencies minimum, at a constant sound volume upon receipt of the pure tone signal and a response button for operation by the test person to provide a feedback signal to the computer, and earphones coupled to the audio apparatus for enabling the test person to hear the set of test signals outputted by the audio apparatus.