Applications of Artificial Intelligence in Thrombocytopenia
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 wit...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/13/6/1060 |
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| author | Amgad M. Elshoeibi Khaled Ferih Ahmed Adel Elsabagh Basel Elsayed Mohamed Elhadary Mahmoud Marashi Yasser Wali Mona Al-Rasheed Murtadha Al-Khabori Hani Osman Mohamed Yassin |
| author_facet | Amgad M. Elshoeibi Khaled Ferih Ahmed Adel Elsabagh Basel Elsayed Mohamed Elhadary Mahmoud Marashi Yasser Wali Mona Al-Rasheed Murtadha Al-Khabori Hani Osman Mohamed Yassin |
| author_sort | Amgad M. Elshoeibi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T06:42:20Z |
| format | Article |
| id | doaj.art-ef148983c7f3495fa7090f14db3113bb |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T06:42:20Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-ef148983c7f3495fa7090f14db3113bb2023-11-17T10:33:49ZengMDPI AGDiagnostics2075-44182023-03-01136106010.3390/diagnostics13061060Applications of Artificial Intelligence in ThrombocytopeniaAmgad M. Elshoeibi0Khaled Ferih1Ahmed Adel Elsabagh2Basel Elsayed3Mohamed Elhadary4Mahmoud Marashi5Yasser Wali6Mona Al-Rasheed7Murtadha Al-Khabori8Hani Osman9Mohamed Yassin10College of Medicine, QU Health, Qatar University, Doha 2713, QatarCollege of Medicine, QU Health, Qatar University, Doha 2713, QatarCollege of Medicine, QU Health, Qatar University, Doha 2713, QatarCollege of Medicine, QU Health, Qatar University, Doha 2713, QatarCollege of Medicine, QU Health, Qatar University, Doha 2713, QatarDubai Academic Health Corporation & Mediclinic Hospital, Dubai 3050, United Arab EmiratesDepartment of Child Health, Sultan Qaboos University, Muscat 3050, OmanHematology Department, AL Adan Hospital, Kuwait City 3050, KuwaitHematology Department, Sultan Qaboos University, Muscat 3050, OmanHematology/Oncology Department, Tawam Hospital, Abu Dhabi 3050, United Arab EmiratesHematology Section, Medical Oncology, National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation (HMC), Doha 3050, QatarThrombocytopenia 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.https://www.mdpi.com/2075-4418/13/6/1060artificial intelligencethrombocytopeniadiagnosisprognosispredictiontransmission |
| spellingShingle | Amgad M. Elshoeibi Khaled Ferih Ahmed Adel Elsabagh Basel Elsayed Mohamed Elhadary Mahmoud Marashi Yasser Wali Mona Al-Rasheed Murtadha Al-Khabori Hani Osman Mohamed Yassin Applications of Artificial Intelligence in Thrombocytopenia Diagnostics artificial intelligence thrombocytopenia diagnosis prognosis prediction transmission |
| title | Applications of Artificial Intelligence in Thrombocytopenia |
| title_full | Applications of Artificial Intelligence in Thrombocytopenia |
| title_fullStr | Applications of Artificial Intelligence in Thrombocytopenia |
| title_full_unstemmed | Applications of Artificial Intelligence in Thrombocytopenia |
| title_short | Applications of Artificial Intelligence in Thrombocytopenia |
| title_sort | applications of artificial intelligence in thrombocytopenia |
| topic | artificial intelligence thrombocytopenia diagnosis prognosis prediction transmission |
| url | https://www.mdpi.com/2075-4418/13/6/1060 |
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