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.
References :
- Artificial Intelligence, Enough of the hype! What is it? Hewlett Packard Enterprise Community. (2019). Accessed: May 4, 2024. https://community.hpe.com/t5/hpe-blog-uk-ireland-middle-east/artificial-intelligence-enough-of-the-hype-what-is-it/ba-p/7046672.
- Monsour R, Dutta M, Mohamed A-Z, Borkowski A, Viswanadhan NA: Neuroimaging in the Era of Artificial Intelligence: Current Applications. Fed Pract. 2022, 39:S14–20. 10.12788/fp.0231
- Perju-Dumbrava L, Barsan M, Leucuta DC, Popa LC, Pop C, Tohanean N, Popa SL: Artificial intelligence applications and robotic systems in Parkinson’s disease (Review). Exp Ther Med. 2022, 23:153. 10.3892/etm.2021.11076
- Pedersen M, Verspoor K, Jenkinson M, Law M, Abbott DF, Jackson GD: Artificial intelligence for clinical decision support in neurology. Brain Commun. 2020, 2:fcaa096. 10.1093/braincomms/fcaa096
- Vatansever S, Schlessinger A, Wacker D, Kaniskan HÜ, Jin J, Zhou M, Zhang B: Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions. Med Res Rev. 2021, 41:1427–73. 10.1002/med.21764
- Watts J, Khojandi A, Shylo O, Ramdhani RA: Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review. Brain Sci. 2020, 10:809. 10.3390/brainsci10110809
- Quazi S: Artificial intelligence and machine learning in precision and genomic medicine. Med Oncol. 2022, 39:120. 10.1007/s12032-022-01711-1
- Executive Brief | 2021 Senior Report | AHR. America’s Health Rankings. Accessed: April 27, 2024. https://www.americashealthrankings.org/learn/reports/2021-senior-report/executive-brief.
- Dubey A, Tiwari A: Artificial intelligence and remote patient monitoring in US healthcare market: a literature review. J Mark Access Health Policy. 11:2205618. 10.1080/20016689.2023.2205618
- Crema C, Attardi G, Sartiano D, Redolfi A: Natural language processing in clinical neuroscience and psychiatry: A review. Front Psychiatry. 2022, 13:946387. 10.3389/fpsyt.2022.946387
- Lamba D, Hsu W, Alsadhan M: Predictive Analytics and Machine Learning for Medical Informatics A Survey of Tasks and Techniques. 2021. 10.1016/B978-0-12-821777-1.00023-9
- Devineni SK: AI in Data Privacy and Security. International Journal of Artificial Intelligence and Machine Learning. 2024, 3:35–49.
- Norori N, Hu Q, Aellen FM, Faraci FD, Tzovara A: Addressing bias in big data and AI for health care: A call for open science. Patterns (N Y). 2021, 2:100347. 10.1016/j.patter.2021.100347
- Singh RP, Hom GL, Abramoff MD, Campbell JP, Chiang MF: Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient. Transl Vis Sci Technol. 2020, 9:45. 10.1167/tvst.9.2.45
- Schuman CD, Kulkarni SR, Parsa M, Mitchell JP, Date P, Kay B: Opportunities for neuromorphic computing algorithms and applications. Nat Comput Sci. 2022, 2:10–9. 10.1038/s43588-021-00184-y
- Haslacher D, Nasr K, Soekadar SR: Advancing sensory neuroprosthetics using artificial brain networks. Patterns (N Y). 2021, 2:100304. 10.1016/j.patter.2021.100304
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.