The Role of Artificial Intelligence in Neurosciences: An Approach to Neuroplasticity in the Era of AI for Personalized Rehabilitation

Abstract

The accurate diagnosis of any disease is often a challenging task for healthcare professionals to ensure effective and high-quality patient care. However, with the digitization of health records and the discovery of Artificial Intelligence (AI), possibilities of human error in diagnosing diseases have greatly reduced. Artificial intelligence is the study of methods for developing artificially intelligent machines with certain abilities in problem-solving and self-decision support, just like the human brain. The technology base for the design of AI systems has borrowed most of its concepts from the architecture of the human brain. Neurosciences concentrate on the study of the human nervous system and brain, from disease to structure. Artificial intelligence technologies and algorithms have, in altogether, ushered in a paradigm shift for disease diagnosis that have armed healthcare professionals with valid and effective tools. AI has certainly become an indispensable tool in the field of neurology diagnosis, providing unparalleled capacities for the interpretation and analysis of intricate neurological data. The main goal of this review is to highlight the emerging AI technologies that are revolutionizing the management of neurological disorders and improving patients' overall functional outcomes. Neuroplasticity and AI integrated within Brain-Computer Interfaces (BCIs) embrace a novel paradigm for complex and most dependent rehabilitation. The use of AI is likely to yield massive growth for patients, stabilizing and magnifying the neuroplasticity process, especially for those undergoing rehabilitation.