Transforming Epilepsy Care through Artificial Intelligence and Machine Learning

Abstract

It is imperative to focus on improving reliable methods to detect epilepsy in patients in order to manage this disorder appropriately. In today’s world, machine learning is an active area of research and many new algorithms have been developed to assist scientists with further research discoveries. Successful machine learning models have been a favorable tool for doctors as they help them with potential diagnoses in their patients. The advancements in machine learning technology are beneficial in detecting and predicting seizures in an epileptic individual. This research paper answers the question of how doctors and scientists use machine learning models to improve the detection of epilepsy in a patient. In this review, we outline epilepsy and address the potential impacts of machine learning on patient care. We discuss recent literature regarding the application of such tools in epilepsy. Finally, we compare different machine learning models and methods and discuss the potential of artificial intelligence in the future.