Carmen-Adella SÎRBU1,2,3, Maria-Teodora TRANDAFIR3, Elena-Angelica IVAN3, Dan MISCHIANU2, Vasile SÂRBU2
Abstract. The purpose of this paper is to provide a concise analysis of the role of artificial intelligence (AI) in the diagnosis of two major neurological disorders: stroke and multiple sclerosis. In the case of stroke, AI plays a pivotal role in enabling rapid diagnosis, which can significantly impact patient outcomes. Convolutional neural networks (CNNs) are employed to detect large vessel occlusions, calculate the ASPECT score, and assess prognosis. Other AI models contribute by enhancing image quality, reducing both patient exposure time and radiation dose. In multiple sclerosis, one of the main purposes of AI is the analysis of various serum or cerebrospinal fluid biomarkers to help differentiate it from other neurological diseases. Additionally, in the imaging field, AI allows the establishment of correlations between specific lesion patterns and clinical outcomes, including disease progression and response to treatment.
Keywords: artificial intelligence, stroke, multiple sclerosis.
DOI 10.56082/annalsarscimed.2025.1.7
1 Carol Davila University of Medicine and Pharmacy, Bucharest, Romania, Neurology Department, Dr Carol Davila Central Military Emergency University Hospital, Bucharest, Romania; e-mail: sircar13@yahoo.com.
2 Academy of Romanian Scientists, Bucharest, Romania
2 Department of Neurology, Military Emergency Hospital, Bucharest, Romania
PUBLISHED in Annals of the Academy of Romanian Scientists Series of Medicine, Volume 6, Issue 1
ISSN-L 2668-8816 ONLINE ISSN 2668-8816
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It is a biannual, open-access journal edited by the Academy of Romanian Scientists and published by the Academy of Romanian Scientists Publishing House.