Elshoeibi Amgad M, Ferih Khaled, Elsabagh Ahmed Adel, Elsayed Basel, Elhadary Mohamed, Marashi Mahmoud, Wali Yasser, Al-Rasheed Mona, Al-Khabori Murtadha, Osman Hani, Yassin Mohamed
College of Medicine, QU Health, Qatar University, Doha 2713, Qatar.
Dubai Academic Health Corporation & Mediclinic Hospital, Dubai 3050, United Arab Emirates.
Diagnostics (Basel). 2023 Mar 10;13(6):1060. doi: 10.3390/diagnostics13061060.
Thrombocytopenia 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.
血小板减少症是一种血液中血小板计数极低的医学病症。血小板计数下降可能归因于多种原因，包括药物、败血症、病毒感染和自身免疫。在临床上，血小板减少症的出现可能非常危险，如果不及时处理，会因出血过多而导致患者预后不良。因此，早期检测和评估血小板减少症对于这些患者进行快速且适当的干预至关重要。由于人工智能能够同时组合和评估许多线性和非线性变量，它在血小板减少症的早期诊断、评估预后和预测患者分布方面显示出巨大的应用潜力。在本综述中，我们在四个数据库中进行了检索，共确定了13篇原创文章，这些文章探讨了多种机器学习算法在各类血小板减少症的诊断、预后和分布方面的应用。我们在本综述中总结了每篇文章的方法和研究结果。纳入的研究表明，人工智能有可能改进用于血小板减少症诊断、预后和治疗的临床方法。
