Tinnitus Diagnosis

Tinnitus diagnosis currently relies heavily on clinician expertise, but research is actively exploring objective methods using electroencephalography (EEG) signals. Recent studies focus on machine learning techniques, particularly employing domain adaptation and meta-learning strategies to improve the generalizability of models across diverse datasets and patient populations. This work aims to create more reliable and accurate diagnostic tools, potentially leading to earlier intervention and improved management of this prevalent hearing disorder.