A new review in the Annals of Neurology ⧉ explores how artificial intelligence (AI) is reshaping modern neurology, aiming to make core AI concepts more accessible to clinicians and neuroscientists. A three-part series, the review traces AI's foundations in mathematics, human logic, and brain-inspired neural networks to provide essential context for its rapid adoption in healthcare.
The article highlights the growing role of machine learning in neurological diagnosis and treatment, including applications in computer vision, brain–machine interfaces, and precision care. It also introduces key considerations in AI model selection and presents a clinical case scenario to illustrate how AI may support personalised neurological decision-making.
Click on the links below to read the full articles for a foundational overview of AI in neurology and a preview of how upcoming parts will address real-world clinical collaboration and large-scale integration across healthcare systems.
AI in Neurology: Everything, Everywhere, All at Once (Open Access Articles)
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