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

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.

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Publication Details

Journal
Journal of Blood and Cancer
Published
2025-10-01
DOI
https://doi.org/10.61882/ijbc.17.3.46
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

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

Journal of Blood and Cancer
Artificial Intelligence in Healthcare and Education
article

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

article en

Abstract

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.

Journal of Blood and CancerVol. 17(3)
Charles University (CZ), Czech Academy of Sciences, Institute of Biophysics (CZ), Shahid Beheshti University (IR), Shahid Beheshti University of Medical Sciences (IR)
Good health and well-being
Openalex Percentile: Top 47%
Artificial Intelligence in Healthcare and Education
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