Volume 3, Issue 1, March 2021, Pages 13 - 20
Machine Learning Applications in the Diagnosis of Benign and Malignant Hematological Diseases
Ibrahim N. Muhsen1, , David Shyr2, Anthony D. Sung3, , 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: firstname.lastname@example.org
Shahrukh K. Hashmi
Received 2 September 2020, Accepted 5 November 2020, Available Online 21 December 2020.
- 10.2991/chi.k.201130.001How to use a DOI?
- Hematology; machine learning; artificial intelligence
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.
- © 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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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 -