EN
Artificial Intelligence Applications in Hematology
Abstract
Artificial intelligence (AI) is a computer-based science that aims to simulate the human brain using a system. One of the most used areas of artificial intelligence in medicine is hematology. In this study, the Pubmed database was scanned using the words "hematology, artificial intelligence". The chronological development of artificial intelligence in hematology was evaluated by examining the articles found. AI was used firstly in hematology with peripheral blood interpretation in laboratory systems. It was followed by flow cytometry for immunophenotyping and bone marrow reporting. The diagnosis of iron
eficiency anemia, hemoglobinopathies, Polistemia Vera and classification of hematological malignancies such as leukemia and lymphoma were made. AI-supported algorithms are developed for
mmunotherapy and evaluation of recipient compatibility before stem cell transplantation. Also they used evaluation of recurrence and complications after transplantation. Together with the new generation digital image analyzers, images has been transferred to a central laboratory and an unique automation that can be archived with fast, high-quality consultation. As a result, artificial intelligence systems have been used in the diagnosis and treatment of hematological diseases from past to present and seem to play an important role in the future.
Keywords
References
- 1. Wilkes AL, Wade NJ. Bain on neural networks. Brain Cogn 1997;33:295–305.
- 2. Mc Culloch WS, Pitts W. A logical calculus of the ideas immanent in nervous activity. Bull Math Biophys 1943;5:11–143.
- 3. Zini G. Artificial intelligence in hematology. Hematology. 2005 Oct;10(5):393-400. doi: 10.1080/10245330410001727055.PMID: 16203606
- 4. Diamond LW, Minshka VG, Seal AH, Nguyen DT. Multiparameter interpretative reporting in diagnostic laboratory hematology. Int J Biomed Comput 1994;37:211–224.
- 5. Diamond LW, Nguyen DT, Andreeff M, Maiese RL, BraylanRC. A knowledge-based system for the interpretation of flowcytometry data in leukemias and lymphomas. Cytometry 1994;17:266–273.
- 6. Nguyen DT, Diamond LW, Cavenagh JD, Parameswaran R, A mess JA. Haematological validation of a computer-based bone marrow reporting system. J Clin Pathol 1997; 50:375–378
- 7. Ornstein L. Computer learning and the scientific method: A proposed solution to the information theoretical problem of meaning. J Mount Sinai Hosp 1965;32:437–494
- 8. Erler BS, Vitagliano P, Lee S. Superiority of neural networks over discriminant functions for thalassemia minor screening of red blood cell microcytosis. Arch Pathol Lab Med 1995;119:350–354.
Details
Primary Language
English
Subjects
Clinical Sciences, Engineering
Journal Section
Short Report
Publication Date
April 30, 2021
Submission Date
February 10, 2021
Acceptance Date
April 15, 2021
Published in Issue
Year 2021 Volume: 1 Number: 1
APA
Kazancı, E. G., & Güven, D. (2021). Artificial Intelligence Applications in Hematology. Artificial Intelligence Theory and Applications, 1(1), 1-7. https://izlik.org/JA62AU89BA
AMA
1.Kazancı EG, Güven D. Artificial Intelligence Applications in Hematology. AITA. 2021;1(1):1-7. https://izlik.org/JA62AU89BA
Chicago
Kazancı, Elif Güler, and Deniz Güven. 2021. “Artificial Intelligence Applications in Hematology”. Artificial Intelligence Theory and Applications 1 (1): 1-7. https://izlik.org/JA62AU89BA.
EndNote
Kazancı EG, Güven D (April 1, 2021) Artificial Intelligence Applications in Hematology. Artificial Intelligence Theory and Applications 1 1 1–7.
IEEE
[1]E. G. Kazancı and D. Güven, “Artificial Intelligence Applications in Hematology”, AITA, vol. 1, no. 1, pp. 1–7, Apr. 2021, [Online]. Available: https://izlik.org/JA62AU89BA
ISNAD
Kazancı, Elif Güler - Güven, Deniz. “Artificial Intelligence Applications in Hematology”. Artificial Intelligence Theory and Applications 1/1 (April 1, 2021): 1-7. https://izlik.org/JA62AU89BA.
JAMA
1.Kazancı EG, Güven D. Artificial Intelligence Applications in Hematology. AITA. 2021;1:1–7.
MLA
Kazancı, Elif Güler, and Deniz Güven. “Artificial Intelligence Applications in Hematology”. Artificial Intelligence Theory and Applications, vol. 1, no. 1, Apr. 2021, pp. 1-7, https://izlik.org/JA62AU89BA.
Vancouver
1.Elif Güler Kazancı, Deniz Güven. Artificial Intelligence Applications in Hematology. AITA [Internet]. 2021 Apr. 1;1(1):1-7. Available from: https://izlik.org/JA62AU89BA