Artificial Intelligence in Neurology: Current Applications and Future Prospects


Authors : Taoufik Boubga; Amine Bentaher; Abdellah Taous; Maha Ait Berri; Tarik Boulahri

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/mvnypnkz

Scribd : https://tinyurl.com/yc3xu5sa

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY368

Abstract : Artificial intelligence (AI) is reshaping the field of neurology, enhancing diagnosis, treatment, and management of neurological disorders. This article explores AI's role in neurology, highlighting its ability to process vast amounts of data to improve diagnostic accuracy and personalize treatments. AI applications, from neuroimaging to clinical decision support, have shown promising results in enhancing patient care. However, challenges such as data security, ethical concerns, and the need for stringent regulatory frameworks remain significant. The potential of AI in neurology continues to grow, promising revolutionary changes in patient outcomes and healthcare practices, provided these challenges are effectively managed.

Keywords : Artificial Intelligence – Neurological Disorders – Diagnostic Enhancement.

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Artificial intelligence (AI) is reshaping the field of neurology, enhancing diagnosis, treatment, and management of neurological disorders. This article explores AI's role in neurology, highlighting its ability to process vast amounts of data to improve diagnostic accuracy and personalize treatments. AI applications, from neuroimaging to clinical decision support, have shown promising results in enhancing patient care. However, challenges such as data security, ethical concerns, and the need for stringent regulatory frameworks remain significant. The potential of AI in neurology continues to grow, promising revolutionary changes in patient outcomes and healthcare practices, provided these challenges are effectively managed.

Keywords : Artificial Intelligence – Neurological Disorders – Diagnostic Enhancement.

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