The Role of Artificial Intelligence in Shaping the Future of Hematological Diagnosis and Treatment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F25%3A10505612" target="_blank" >RIV/00216208:11110/25:10505612 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11120/25:43929091
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ggP3U3Nohd" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ggP3U3Nohd</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.61882/ijbc.17.3.46" target="_blank" >10.61882/ijbc.17.3.46</a>
Alternative languages
Result language
angličtina
Original language name
The Role of Artificial Intelligence in Shaping the Future of Hematological Diagnosis and Treatment
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
—
OECD FORD branch
30205 - Hematology
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Iranian Journal of Blood and Cancer
ISSN
2008-4595
e-ISSN
2008-4609
Volume of the periodical
17
Issue of the periodical within the volume
3
Country of publishing house
IR - IRAN, ISLAMIC REPUBLIC OF
Number of pages
16
Pages from-to
46-61
UT code for WoS article
—
EID of the result in the Scopus database
2-s2.0-105021823525