Abstract: An exemplary method includes a hearing performance prediction system aggregating a plurality of training examples, a training example in the plurality of training examples including a hearing aid dataset and a cochlear implant dataset associated with a user; and training a machine learning model using the plurality of training examples. The training may include computing, using the machine learning model, a predicted hearing performance for the user based on the hearing aid dataset of the user in the training example; computing a feedback value based on the predicted hearing performance of the user and the cochlear implant dataset of the user in the training example; and adjusting one or more model parameters of the machine learning model based on the feedback value.

Abstract: A system includes a first stimulation device for neural stimulation of an ipsilateral ear of a user, a second stimulation device for stimulation of a contralateral ear of the user or the ipsilateral ear of the user, and a fitting device. The fitting device is configured to calculate a first set of aided levels by taking into account a stimulation model of the first stimulation device and using a first set of stimulation parameters as read from the first stimulation device. The fitting device is further configured to calculate a second set of aided levels by taking into account a stimulation model of the second stimulation device and using a second set of stimulation parameters as read from the second stimulation device. The fitting device is further configured to present an acoustic level audiogram representation of the first and second sets of aided levels.

Abstract: A system includes a first device for neural stimulation of a patient's ipsilateral ear and a second hearing stimulation device, wherein the stimulation mode of the second stimulation device is different from that of the first stimulation device. The system further includes a fitting device for adjusting the first stimulation device and the second stimulation device. The fitting device includes a graphical user interface configured to present an acoustic level audiogram representation of aided acoustic and electric behavioral values for the first and second stimulation devices.

Abstract: A system includes a first device for neural stimulation of a patient's ipsilateral ear and a second hearing stimulation device, wherein the stimulation mode of the second stimulation device is different from that of the first stimulation device. The system further includes a fitting device for adjusting the first stimulation device and the second stimulation device. The fitting device includes a graphical user interface configured to present an acoustic level audiogram representation of aided acoustic and electric behavioral values for the first and second stimulation devices.