This paper is in the following e-collection/theme issue:

Digital Health Reviews (1753) Artificial Intelligence (2188) Machine Learning (2121) Innovations and Technology in Cancer Care (539)

Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36490, first published .
A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects

A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects

A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects

Authors of this article:

Yousra El Alaoui1 Author Orcid Image ;   Adel Elomri1 Author Orcid Image ;   Marwa Qaraqe1 Author Orcid Image ;   Regina Padmanabhan1 Author Orcid Image ;   Ruba Yasin Taha2 Author Orcid Image ;   Halima El Omri2 Author Orcid Image ;   Abdelfatteh EL Omri3 Author Orcid Image ;   Omar Aboumarzouk3, 4, 5 Author Orcid Image
Article Authors Cited by (48) Tweetations (7) Metrics

Journals

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  17. Cabral B, Braga L, Conte Filho C, Penteado B, Freire de Castro Silva S, Castro L, Fornazin M, Mota F. Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study. Journal of Medical Internet Research 2025;27:e53892 View
  18. Aboelkhir H, El Alaoui Y, Padmanabhan R, Hadid M, Elomri A, Alam T, Rejeb M, EL Omri H, Taha R, Elsabah H, EL Omri A. Diagnosis Challenges in Adult Leukemia: Insights From a Single-Center Retrospective Study in Qatar (2016-2021). Cancer Control 2025;32 View
  19. Obeagu E, Ezeanya C, Ogenyi F, Ifu D. Big data analytics and machine learning in hematology: Transformative insights, applications and challenges. Medicine 2025;104(10):e41766 View
  20. Rehman S, Fayyaz S, Usman M, Saleem M, Farooq U, Amin A, Lashari M, Idris M, Rashid H, Chaudhary M. Machine learning-based detection and quantification of red blood cells in Cholistani cattle: A pilot study. Research in Veterinary Science 2025;189:105650 View
  21. Vyas A, Kumar K, Sharma A, Verma D, Bhatia D, Wahi N, Yadav A. Advancing the frontier of artificial intelligence on emerging technologies to redefine cancer diagnosis and care. Computers in Biology and Medicine 2025;191:110178 View
  22. Andrès E, El Hassani Hajjam A, Maloisel F, Alonso-Ortiz M, Méndez-Bailón M, Lavigne T, Jannot X, Lorenzo-Villalba N. Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation. Hematology Reports 2025;17(3):24 View
  23. Piven A, Shamai G, Elitzur S, Berger G, Binenbaum Y, Kimmel R, Elhasid R. Prediction of B/T Subtype and ETV6–RUNX1 Translocation in Pediatric Acute Lymphoblastic Leukemia by Deep Learning Analysis of Giemsa‐Stained Whole Slide Images of Bone Marrow Aspirates. Pediatric Blood & Cancer 2025;72(8) View
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  30. Jammal F, Dahab M. CausalFormer-HMC: a hybrid memory-driven transformer with causal reasoning and counterfactual explainability for leukemia diagnosis. Frontiers in Cell and Developmental Biology 2025;13 View
  31. Mohammadi E, Rastegar M, Jamshidnezhad A, Azizi A. Machine learning improves detection of alpha thalassemia carriers compared to clinical features. Scientific Reports 2025;15(1) View
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  33. Haghshenas Z, Shokri Garjan H, Moghassem A, Vahedi P, Tabatabavakili Y, Hosseinzadeh D, Asgari G, Nazari E, Aldaghi T. The Role of Artificial Intelligence in Shaping the Future of Hematological Diagnosis and Treatment. Journal of Blood and Cancer 2025;17(3):46 View
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Books/Policy Documents

  1. Luvhengo T, Molefi T, Demetriou D, Hull R, Dlamini Z. Artificial Intelligence and Precision Oncology. View
  2. Leema Roselin G, Sabimozhi M. NanoMind: Exploring Synergies in Nanotechnology and Machine Learning. View
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Conference Proceedings

  1. Bio Nigan B, Zohoun A, Kora A. 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC). White Blood Cells Recognition and Classification using Convolutional Neural Network View
  2. Thakur S, Garg V, Kumar A. 2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT). Role of artificial intelligence in the early detection of thrombocytopenia: An approach to improve health of pregnant women View
  3. Garcia-Salgado B, Ponomaryov V, Diaz-Resendiz J, Mora-Martinez Y, Alamaraz-Damian J, Reyes-Reyes R, Sadovnychiy S, Carlsohn M. Real-time Processing of Image, Depth, and Video Information 2024. Multithreading approach for white blood cell segmentation implementation View
  4. Pacharaney U, Parveen N, Aktar S, Belsari A. INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES FOR SUSTAINABLE ENERGY MANAGEMENT AND CONTROL 2023: ITSEMC2023. Blood less hematology cell counter and survival prediction using artificial intelligence View
  5. Magotra S, Agrawal K. 2024 1st International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI). Blood Cancer Detection Using Machine Learning: A Review View
  6. Shan M, Mahmud T, Rahman T, Islam M. 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON). VGG19 and Inception V3 Performance Evaluation for Early Leukemia Detection from Blood Smears View