Personalized medicine and artificial intelligence in neurology: an individual approach to diagnosis and treatment

Abstract

The article considers an individual approach to the diagnosis and treatment of neurological diseases within the framework of personalized medicine and the use of artificial intelligence capabilities. The main focus is on an individual approach to the diagnosis and treatment of neurological diseases. Modern methods of data analysis and technologies allowing to adapt treatment to a specific patient are considered. Examples of successful applications of machine learning and artificial intelligence algorithms for the prediction, diagnosis and treatment of neurological disorders are also being investigated. The authors also emphasize the importance of collecting and analyzing big data in the development of personalized medicine in neurology and identify prospects for further research and application of this methodology. In addition, the advantages of personalized medicine and the use of artificial intelligence in neurology, such as improving diagnostic accuracy, optimizing treatment and improving the effectiveness of results, were analyzed. The challenges and limitations faced by researchers and doctors when implementing personalized approaches in neurological practice are studied, as well as ethical issues related to the use of patient data and decision-making based on machine learning algorithms are analyzed.

Imprint

Anton F. Manin, Leyla R. Gambarova, Madlena A. Gasparyan, Liona R. Usmanova, Ilia A. Marshukov, Andrey D. Bartenev, Tatiana V. Ivashchenko, Victoria A. Vartanyan, Marina Z. Baybolatova, Nuryana N. Agabekova. Personalized medicine and artificial intelligence in neurology: an individual approach to diagnosis and treatment. Cardiometry; Issue 31; May 2024; p.47-53; DOI: 10.18137/cardiometry.2024.31.4753; Available from: https://www.cardiometry.net/issues/no31-may-2024/personalized-medicine-and-artificial-intelligence