Artificial Intelligence in Neurology: Applications in Diagnosis and Prognosis

Abstract

Artificial intelligence (AI) has emerged as a transformative tool in the field of neurology, offering innovative approaches to diagnosis and prognosis. This paper provides an overview of AI applications in neurology, focusing on its potential to enhance the accuracy and efficiency of diagnosing neurological disorders and predicting disease outcomes. We discuss various AI techniques, including machine learning, deep learning, and natural language processing, and their integration with neuroimaging, genetic data, and clinical records. Through a comprehensive review of current literature, we highlight the promising advancements, challenges, and future directions in leveraging AI for neurological diagnosis and prognosis.

Keywords: Artificial intelligence, neurology, diagnosis, prognosis, machine learning, deep learning, neuroimaging, genetic data, clinical records.