Artificial Intelligence Bringing Newer Paradigms in the Diagnosis, Treatment, and Management of Psoriasis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Dermatology
Link
https://link.springer.com/content/pdf/10.1007/s13671-023-00408-6.pdf
Reference26 articles.
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2. Skutnik-Radziszewska A, Maciejczyk M, Flisiak I, Kołodziej JKU, Kotowska-Rodziewicz A, Klimiuk A, et al. Enhanced inflammation and nitrosative stress in the saliva and plasma of patients with plaque psoriasis. J Clin Med. 2020;9(3):745. https://doi.org/10.3390/jcm9030745.
3. Tampa M, Sarbu MI, Mitran MI, Mitran CI, Matei C, Georgescu SR. The pathophysiological mechanisms and the quest for biomarkers in psoriasis, a stress-related skin disease. Dis Markers. 2018;28(2018):5823684. https://doi.org/10.1155/2018/5823684.
4. Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019;6(2):94–8. https://doi.org/10.7861/futurehosp.6-2-94.
5. Khan A, Sohail A, Zahoora U, Qureshi AS. A survey of the recent architectures of deep convolutional neural networks. Artif Intell Rev. 2020;53(8):5455–516. https://doi.org/10.1007/s10462-020-09825-6.
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