Clinical Hematology International

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Volume 3, Issue 1, March 2021, Pages 13 - 20

Machine Learning Applications in the Diagnosis of Benign and Malignant Hematological Diseases

Authors
Ibrahim N. Muhsen1, ORCID, David Shyr2, Anthony D. Sung3, ORCID, Shahrukh K. Hashmi4, 5, *
1Department of Medicine, Houston Methodist Hospital, Houston, TX, USA
2Division of Stem Cell Transplantation and Regenerative Medicine, Stanford School of Medicine, Palo Alto, CA, USA
3Department of Medicine, Division of Hematologic Malignancies and Cellular Therapy, Duke University School of Medicine, NC, USA
4Department of Medicine, Mayo Clinic, Rochester, MN, USA
5Department of Medicine, Sheikh Shakbout Medical City, Abu Dhabi, UAE
*Corresponding author. Email: hashmi.shahrukh@mayo.edu
Corresponding Author
Shahrukh K. Hashmi
Received 2 September 2020, Accepted 5 November 2020, Available Online 21 December 2020.
DOI
10.2991/chi.k.201130.001How to use a DOI?
Keywords
Hematology; machine learning; artificial intelligence
Abstract

The use of machine learning (ML) and deep learning (DL) methods in hematology includes diagnostic, prognostic, and therapeutic applications. This increase is due to the improved access to ML and DL tools and the expansion of medical data. The utilization of ML remains limited in clinical practice, with some disciplines further along in their adoption, such as radiology and histopathology. In this review, we discuss the current uses of ML in diagnosis in the field of hematology, including image-recognition, laboratory, and genomics-based diagnosis. Additionally, we provide an introduction to the fields of ML and DL, highlighting current trends, limitations, and possible areas of improvement.

Copyright
© 2020 International Academy for Clinical Hematology. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
Clinical Hematology International
Volume-Issue
3 - 1
Pages
13 - 20
Publication Date
2020/12/21
ISSN (Online)
2590-0048
DOI
10.2991/chi.k.201130.001How to use a DOI?
Copyright
© 2020 International Academy for Clinical Hematology. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Ibrahim N. Muhsen
AU  - David Shyr
AU  - Anthony D. Sung
AU  - Shahrukh K. Hashmi
PY  - 2020
DA  - 2020/12/21
TI  - Machine Learning Applications in the Diagnosis of Benign and Malignant Hematological Diseases
JO  - Clinical Hematology International
SP  - 13
EP  - 20
VL  - 3
IS  - 1
SN  - 2590-0048
UR  - https://doi.org/10.2991/chi.k.201130.001
DO  - 10.2991/chi.k.201130.001
ID  - Muhsen2020
ER  -