The Role of Artificial Intelligence in Shaping the Future of Hematological Diagnosis and Treatment

Haghshenas, Zahra; Shokri Garjan, Hassan; Moghassem, Atefeh; Vahedi, Pooya; Tabatabavakili, Yasmin; Hosseinzadeh, Diana; Asgari, Goli; Nazari, Elham; Aldaghi, Tahmine

Volume 17, Issue 3 (September-2025 2025) Iranian Journal of Blood and Cancer 2025, 17(3): 46-61 | Back to browse issues page

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Haghshenas Z, Shokri Garjan H, Moghassem A, Vahedi P, Tabatabavakili Y, Hosseinzadeh D, et al . The Role of Artificial Intelligence in Shaping the Future of Hematological Diagnosis and Treatment. Iranian Journal of Blood and Cancer 2025; 17 (3) :46-61
URL: http://ijbc.ir/article-1-1786-en.html

The Role of Artificial Intelligence in Shaping the Future of Hematological Diagnosis and Treatment

Zahra Haghshenas¹

, Hassan Shokri Garjan²

, Atefeh Moghassem³

, Pooya Vahedi⁴

, Yasmin Tabatabavakili⁵

, Diana Hosseinzadeh⁶

, Goli Asgari⁷

, Elham Nazari ^*⁸

, Tahmine Aldaghi⁹

1- School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Department of Medical Informatics, School of Allied Medical Science, Urmia University of Medical Science, Urmia, Iran.
3- Laboratory Hematology and Blood Bank Department, School of Allied Medical Science, Shahid Beheshti University of Medical Science, Tehran, Iran.
4- School of Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran.
5- School of Nursing and Midwifery, Shahid Beheshti University of Medical Science, Tehran, Iran.
6- Third faculty of medicine, Charles University, Prague, Czech Republic.
7- Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
8- Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. , Elham.Nazari@sbmu.ac.ir
9- Institute of Biophysics and Informatics, First Faculty of Medicine, Charles University, Prague, Czech Republic

Abstract: (106 Views)

Hematological disorders continue to pose significant challenges in clinical practice due to their complexity and potential for severe outcomes. This review provides a comprehensive overview of the role of Artificial Intelligence (AI) in enhancing the diagnosis and treatment of these conditions. Drawing on 177 studies published between 2012 and 2025 from PubMed and Google Scholar, the review examines fundamental concepts of AI and machine learning, their applications in diagnostic and therapeutic processes, and the challenges and limitations associated with their clinical implementation. The findings highlight the potential of AI to improve diagnostic accuracy, optimize treatment strategies, and support decision-making in hematology. By synthesizing current knowledge, this study underscores the importance of integrating AI into research and clinical practice and offers insights into future directions for advancing patient care in hematological disorders.

Keywords: Artificial intelligence, Machine learning, Hematological disorders

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: Review Article | Subject: Adults Hematology & Oncology
Received: 2025/08/10 | Accepted: 2025/09/25 | Published: 2025/09/30

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