Machine Learning to Predict Hearing Preservation After Middle Cranial Fossa Approach for Sporadic Vestibular Schwannomas

Conclusion Machine learning algorithms have the potential for accurate prediction of hearing preservation rates after middle fossa approach for vestibular schwannomas at a single institution. These models have the capacity for continued refinement with ongoing addition of data.
Source: Otology and Neurotology - Category: ENT & OMF Tags: TUMORS OF THE EAR AND CRANIAL BASE Source Type: research