Predicting hearing devices best settings

These settings are coded into devices by trained audiologists during the first patient visit. The question emerged – is it possible to predict settings using audiograms and machine learning models? And if so, can predicted settings be even better than those proposed by audiologists?
 
Thanks to machine learning we found how audiograms and settings are connected. Our models prove to be successful in predicting correct device settings without any audiologist work required. Such a solution is faster and less prone to error and being reliable is very important where it comes to any medical device settings. This shows how machine learning can help in automation of hearing aid kits calibration.