Abstract: An improvement in the telemedicine-based diagnosis of acute otitis media is discussed. The improvement including a system and method for merging an otoscope video stream into a telemedicine session. Operations for merging the otoscope video stream can being with initiating a telemedicine session. Subsequently, the system can determine, from within the telemedicine session, whether a connection to an otoscope providing the otoscope video stream is available. If the video stream is available, the system can access the otoscope video stream within the telemedicine session.

Abstract: Various aspects of methods, systems, and use cases may be used to generate an ear disease state prediction to assist diagnosis of an ear disease. A method may include receiving an image an ear, predicting an image-based confidence level of a disease state in the ear by using the image as in input to a machine learning trained model. The method may include receiving text, for example corresponding to a symptom of the patient. The method may include predicting a symptom-based confidence level of the disease state in the ear by using the text as in input to a trained classifier. The method may include using the results of the image-based confidence level and the symptom-based confidence level to determine an overall confidence level of presence of an ear infection in the ear of the patient.