Deep Learning and Neurology: A Systematic Review

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Cite
Valliani, Aly Al-Amyn, et al. “Deep Learning and Neurology: A Systematic Review”. Neurology and Therapy, vol. 8, no. 2, 2019, pp. 351-65, https://doi.org/10.1007/s40120-019-00153-8.
Valliani, A. A.-A., Ranti, D., & Oermann, E. K. (2019). Deep Learning and Neurology: A Systematic Review. Neurology and Therapy, 8(2), 351-365. https://doi.org/10.1007/s40120-019-00153-8
Valliani AAA, Ranti D, Oermann EK. Deep Learning and Neurology: A Systematic Review. Neurology and Therapy. 2019;8(2):351-65.
Journal Categories
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Neurology
Diseases of the nervous system
Medicine
Medicine (General)
Refrences
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 9 2019
10.1016/S0140-6736(18)31645-3 2018
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A comprehensive analysis towards exploring the promises of AI-related approaches in autism research Computers in Biology and Medicine
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Differentiating multiple sclerosis from non-specific white matter changes using a convolutional neural network image classification model Multiple Sclerosis and Related Disorders
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 2024
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Citations Analysis
Category Category Repetition
Medicine: Medicine (General)19
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry13
Science: Mathematics: Instruments and machines: Electronic computers. Computer science11
Medicine: Medicine (General): Medical technology9
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks9
Technology: Engineering (General). Civil engineering (General)7
Medicine6
Science: Biology (General)6
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system6
Science: Science (General): Cybernetics: Information theory5
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware5
Medicine: Medicine (General): Computer applications to medicine. Medical informatics5
Science: Science (General)4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Science: Chemistry3
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine3
Medicine: Internal medicine3
Science: Mathematics2
Science: Physics2
Science2
Technology: Technology (General): Industrial engineering. Management engineering2
Technology: Chemical technology2
Technology: Electrical engineering. Electronics. Nuclear engineering2
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication2
Medicine: Dermatology2
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system: Psychiatry2
Philosophy. Psychology. Religion: Psychology2
Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens2
Technology: Chemical technology: Biotechnology2
Science: Chemistry: General. Including alchemy1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Science: Chemistry: Analytical chemistry1
Science: Mathematics: Instruments and machines1
Technology: Mechanical engineering and machinery1
Medicine: Surgery1
Science: Chemistry: Organic chemistry: Biochemistry1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Medicine: Public aspects of medicine1
Technology: Photography1
Medicine: Therapeutics. Pharmacology1
Technology: Building construction: Architectural engineering. Structural engineering of buildings1
Agriculture: Plant culture1
Medicine: Internal medicine: Specialties of internal medicine1
The category Medicine: Medicine (General) 19 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Early prediction of neoadjuvant chemotherapy response for advanced breast cancer using PET/MRI image deep learning and was published in 2020. The most recent citation comes from a 2024 study titled Artificial Intelligence Diagnosis of Parkinson's Disease From MRI Scans. This article reached its peak citation in 2023, with 19 citations. It has been cited in 55 different journals, 45% of which are open access. Among related journals, the Diagnostics cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year