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المؤلفElshoeibi, Amgad M.
المؤلفFerih, Khaled
المؤلفElsabagh, Ahmed Adel
المؤلفElsayed, Basel
المؤلفElhadary, Mohamed
المؤلفMarashi, Mahmoud
المؤلفWali, Yasser
المؤلفAl-Rasheed, Mona
المؤلفAl-Khabori, Murtadha
المؤلفOsman, Hani
المؤلفYassin, Mohamed
تاريخ الإتاحة2023-05-11T07:13:50Z
تاريخ النشر2023-03-10
اسم المنشورDiagnostics
المعرّفhttp://dx.doi.org/10.3390/diagnostics13061060
الاقتباسElshoeibi, 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.
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85151708838&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/42583
الملخصThrombocytopenia 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.
اللغةen
الناشرMultidisciplinary Digital Publishing Institute (MDPI)
الموضوعartificial intelligence
diagnosis
prediction
prognosis
thrombocytopenia
transmission
العنوانApplications of Artificial Intelligence in Thrombocytopenia
النوعArticle
رقم العدد6
رقم المجلد13
ESSN2075-4418
dc.accessType Open Access


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