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AuthorElshoeibi, Amgad M.
AuthorFerih, Khaled
AuthorElsabagh, Ahmed Adel
AuthorElsayed, Basel
AuthorElhadary, Mohamed
AuthorMarashi, Mahmoud
AuthorWali, Yasser
AuthorAl-Rasheed, Mona
AuthorAl-Khabori, Murtadha
AuthorOsman, Hani
AuthorYassin, Mohamed
Available date2023-05-11T07:13:50Z
Publication Date2023-03-10
Publication NameDiagnostics
Identifierhttp://dx.doi.org/10.3390/diagnostics13061060
CitationElshoeibi, A. M., Ferih, K., Elsabagh, A. A., Elsayed, B., Elhadary, M., Marashi, M., ... & Yassin, M. (2023). Applications of Artificial Intelligence in Thrombocytopenia. Diagnostics, 13(6), 1060.
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85151708838&origin=inward
URIhttp://hdl.handle.net/10576/42583
AbstractThrombocytopenia is a medical condition where blood platelet count drops very low. This drop in platelet count can be attributed to many causes including medication, sepsis, viral infections, and autoimmunity. Clinically, the presence of thrombocytopenia might be very dangerous and is associated with poor outcomes of patients due to excessive bleeding if not addressed quickly enough. Hence, early detection and evaluation of thrombocytopenia is essential for rapid and appropriate intervention for these patients. Since artificial intelligence is able to combine and evaluate many linear and nonlinear variables simultaneously, it has shown great potential in its application in the early diagnosis, assessing the prognosis and predicting the distribution of patients with thrombocytopenia. In this review, we conducted a search across four databases and identified a total of 13 original articles that looked at the use of many machine learning algorithms in the diagnosis, prognosis, and distribution of various types of thrombocytopenia. We summarized the methods and findings of each article in this review. The included studies showed that artificial intelligence can potentially enhance the clinical approaches used in the diagnosis, prognosis, and treatment of thrombocytopenia.
Languageen
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
Subjectartificial intelligence
diagnosis
prediction
prognosis
thrombocytopenia
transmission
TitleApplications of Artificial Intelligence in Thrombocytopenia
TypeArticle
Issue Number6
Volume Number13
ESSN2075-4418
dc.accessType Open Access


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