Neurol. praxi. 2025;26(2):154-162 | DOI: 10.36290/neu.2024.065

The potential of artificial intelligence in the diagnosis and treatment of neurological diseases

prof. MUDr. David Školoudík, Ph.D.
Neurologická klinika, Fakultní nemocnice Ostrava

Although the idea of artificial intelligence (AI) can be found as early as the ancient philosophers, it is only the development of computing technology in recent decades that has enabled the practical development of AI. In recent decades, AI has begun to make a significant impact in many fields, including medicine, not least neurology. AI is currently being tested in diagnosis and treatment planning for many neurological diseases. In particular, the use of AI in evaluating neuroimaging findings seems promising. AI is being tested in the diagnosis and treatment of neurodegenerative diseases, especially Alzheimer's dementia, diagnosis and treatment of stroke, multiple sclerosis, monitoring of epilepsy or in neurorehabilitation and neuro-oncology. Other important applications of AI include neurological research. However, the development of AI also raises many ethical issues that will need to be resolved in the future. Although AI has considerable potential in the diagnosis and treatment of neurological diseases, there is a need to carefully and critically validate individual results of specific applications of AI before integrating it into clinical workflows.

Keywords: neurology, stroke, Alzheimer's disease, artificial intelligence.

Received: August 24, 2024; Revised: September 29, 2024; Accepted: September 30, 2024; Prepublished online: September 30, 2024; Published: May 5, 2025  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Školoudík D. The potential of artificial intelligence in the diagnosis and treatment of neurological diseases. Neurol. praxi. 2025;26(2):154-162. doi: 10.36290/neu.2024.065.
Download citation
PDF will be unlocked 5.5.2026

References

  1. Al Saiegh F, Munoz A, Velagapudi L, et al. Patient and procedure selection for mechanical thrombectomy: toward personalized medicine and the role of artificial intelligence. J Neuroimaging. 2022;32:798-807. Go to original source... Go to PubMed...
  2. Amukotuwa SA, Straka M, Smith H, et al. Automated Detection of Intracranial Large Vessel Occlusions on Computed Tomography Angiography: A Single Center Experience. Stroke. 2019;50(10):2790-2798. Go to original source... Go to PubMed...
  3. Baníková Š, Najsrová A, Fiedorová I, Trdá J, Volný O. Virtual reality in rehabilitation of patients after stroke. Cesk Slov Neurol N. 2024; 87/120(3):185-190. Go to original source...
  4. Barnett M, Wang D, Beadnall H, et al. A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis. NPJ Digit Med. 2023;6(1):196. Go to original source... Go to PubMed...
  5. Benzinger L, Ursin F, Balke WT, Kacprowski T, Salloch S. Should Artificial Intelligence be used to support clinical ethical decision-making? A systematic review of reasons. BMC Med Ethics. 2023;24(1):48. Go to original source... Go to PubMed...
  6. Bojsen JA, Elhakim MT, Graumann O, et al. Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis. Insights Imaging. 2024;15(1):160. Go to original source... Go to PubMed...
  7. Borchert RJ, Azevedo T, Badhwar A, et al. Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review. Alzheimers Dement. 2023;19(12):5885-5904. Go to original source... Go to PubMed...
  8. Cui L, Fan Z, Yang Y, et al. Deep learning in ischemic stroke imaging analysis: a comprehensive review. Biomed Res Int. 2022;2022:2456550. Go to original source... Go to PubMed...
  9. Darcy AM, Louie AK, Roberts LW. Machine Learning and the Profession of Medicine. JAMA. 2016;315:551-2. Go to original source... Go to PubMed...
  10. De Luca G. The development of machine intelligence in a computational universe. Technology in Society. 2021;65:101553. Go to original source...
  11. Deibel TA, Deibel E. Artificial Intelligence in Ancient Rome: Classical Roman Philosophy on Legal Subjectivity. Women Philosophers on Economics, Technology, Environment, and Gender History: Shaping the Future, Rethinking the Past. 2023:157. Go to original source...
  12. Dobrev D. Formal definition of artificial intelligence. Information Theories and Applications. 2005;12(3):277-285.
  13. El Naamani K, Musmar B, Gupta N, et al. The Artificial Intelligence Revolution in Stroke Care: A Decade of Scientific Evidence in Review. World Neurosurg. 2024;184:15-22. Go to original source... Go to PubMed...
  14. European Parliament. EU AI Act: first regulation on artificial intelligence. 2024. Available from: https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence.
  15. Frizzell TO, Glashutter M, Liu CC, et al. Artificial intelligence in brain MRI analysis of Alzheimer's disease over the past 12 years: a systematic review. Ageing Res Rev. 2022;77:101614. Go to original source... Go to PubMed...
  16. Guberina N, Dietrich U, Radbruch A, et al. Detection of early infarction signs with machine learning-based diagnosis by means of the Alberta Stroke Program Early CT score (ASPECTS) in the clinical routine. Neuroradiology. 2018;60(9):889-901. Go to original source... Go to PubMed...
  17. Hu P, Yan T, Xiao B, et al. Deep learning-assisted detection and segmentation of intracranial hemorrhage in noncontrast computed tomography scans of acute stroke patients: a systematic review and meta-analysis. Int J Surg. 2024;110(6):3839-3847. Go to original source... Go to PubMed...
  18. Chien WT, Chong YY, Tse MK, et al. Robot-assisted therapy for upper-limb rehabilitation in subacute stroke patients: A systematic review and meta-analysis. Brain Behav. 2020;10(8):e01742. Go to original source... Go to PubMed...
  19. Idrisoglu A, Dallora AL, Anderberg P, Berglund JS. Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review. J Med Internet Res. 2023;25:e46105. Go to original source... Go to PubMed...
  20. Jekel L, Brim WR, von Reppert M, et al. Machine Learning Applications for Differentiation of Glioma from Brain Metastasis - A Systematic Review. Cancers (Basel). 2022;14(6):1369. Go to original source... Go to PubMed...
  21. Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2: e000101. Go to original source... Go to PubMed...
  22. Kaul V, Enslin S, Gross SA. History of artificial intelligence in medicine. Gastrointest Endosc. 2020;92(4):807-812. Go to original source... Go to PubMed...
  23. Luo J, Pan M, Mo K, Mao Y, Zou D. Emerging role of artificial intelligence in diagnosis, classification and clinical management of glioma. Semin Cancer Biol. 2023;91:110-123. Go to original source... Go to PubMed...
  24. Mehrholz J, Thomas S, Kugler J, Pohl M, Elsner B. Electromechanical-assisted training for walking after stroke. Cochrane Database Syst Rev. 2020;10(10):CD006185. Go to original source... Go to PubMed...
  25. Ministerstvo průmyslu a obchodu. Národní strategie umělé inteligence v České republice. 2019. https://vlada.gov.cz/assets/evropske-zalezitosti/umela-inteligence/NAIS_kveten_2019.pdf.
  26. Murff HJ, FitzHenry F, Matheny ME, et al. Automated identification of postoperative complications within an electronic medical record using natural language processing. JAMA. 2011;306:848-55. Go to original source... Go to PubMed...
  27. Murray NM, Unberath M, Hager GD, Hui FK. Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review. J Neurointerv Surg. 2020;12(2):156-164. Go to original source... Go to PubMed...
  28. Nabizadeh F, Masrouri S, Ramezannezhad E, et al. Artificial intelligence in the diagnosis of multiple sclerosis: a systematic review. Mult Scler Relat Disord. 2022;59:103673. Go to original source... Go to PubMed...
  29. Nafea MS, Ismail ZH. Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals - A Systematic Literature Review. Bioengineering (Basel). 2022;9(12):781. Go to original source... Go to PubMed...
  30. Nafees Ahmed S, Prakasam P. A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques. Prog Biophys Mol Biol. 2023;183:1-16. Go to original source... Go to PubMed...
  31. Sharma S, Ramesh Y. Chat GPT - A technological remedy or challenge for education system. Global Journal of Enterprise Information System. 2022;14(4):46-51.
  32. Yim D, Khuntia J, Parameswaran V, Meyers A. Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review. JMIR Med Inform. 2024;12:e52073. Go to original source... Go to PubMed...
  33. Zu W, Huang X, Xu T, et al. Machine learning in predicting outcomes for stroke patients following rehabilitation treatment: A systematic review. PLoS One. 2023;18(6):e0287308. Go to original source... Go to PubMed...




Neurology for Practice

Madam, Sir,
please be aware that the website on which you intend to enter, not the general public because it contains technical information about medicines, including advertisements relating to medicinal products. This information and communication professionals are solely under §2 of the Act n.40/1995 Coll. Is active persons authorized to prescribe or supply (hereinafter expert).
Take note that if you are not an expert, you run the risk of danger to their health or the health of other persons, if you the obtained information improperly understood or interpreted, and especially advertising which may be part of this site, or whether you used it for self-diagnosis or medical treatment, whether in relation to each other in person or in relation to others.

I declare:

  1. that I have met the above instruction
  2. I'm an expert within the meaning of the Act n.40/1995 Coll. the regulation of advertising, as amended, and I am aware of the risks that would be a person other than the expert input to these sites exhibited


No

Yes

If your statement is not true, please be aware
that brings the risk of danger to their health or the health of others.