About this Research Topic
Despite AI algorithms existing for many decades and significant advancements in processing power, computational/AI applications in medicine still need to catch up. This special issue aims to bridge that gap by focusing on several key objectives: 1) presenting cutting-edge research in AI applications within Neurology, thus informing our readership about the latest developments; 2) discussing current challenges and identifying existing gaps in the field; 3) exploring the roadmap, hurdles, and strategies to enhance AI's reach within neurology; and 4) predicting and preparing for the ethical challenges that will inevitably emerge with the application of such advanced technology. The goal of this special issue is to facilitate a comprehensive understanding of the status quo while also charting the path forward for the application of AI in neurology.
This Research Topic focuses on the role of Artificial Intelligence (AI) in neurology, covering both clinical and experimental research. It explores the potential of various AI algorithms in identifying new biomarkers and harnessing big data to enhance binary clinical decisions. This deep dive into AI and big data strategies aim to increase the precision, efficiency, and breadth of neurological diagnoses and treatments. Alongside this, the topic acknowledges the ethical implications of AI in medicine. An expert review of forecasted ethical risks related to AI application in neurology is provided, along with an examination of strategies from other medical fields for managing these risks effectively. The goal is to address these ethical challenges and equip the field of neurology with a holistic view of the future of AI applications.
Keywords: AI, epilepsy, neural networks, machine learning, ensemble techniques, Neurology, Epilepsy surgery, brain mapping
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.