Using Artificial Intelligence, the Early Detection of Neurological Disorders through Brain Imaging and Neural Data
Year: 2025
Type: article
Abstract: Neurological disorders include Alzheimer's disease, Parkinson's disease, multiple sclerosis, and epilepsy, which significantly affect millions of people worldwide. Early diagnosis and intervention can drastically improve treatment outcomes, but current diagnostic methods often lack sensitivity and specificity in identifying these conditions in their early stages. Recent advances in artificial intelligence (AI) offer significant potential in addressing these challenges, especially when combined with brain imaging and neural focusing on brain imaging modalities such as MRI, CT, and EEG, and neural signals from devices such as EEG caps and implanted electrodes. It discusses the effectiveness, challenges, and future directions of AI in this domain data. This paper discusses the application of AI techniques, specifically ML and DL, in the early detection of neurological disorders,
Author: Tanush Arun Kumar
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4408069434