Applications of Artificial Intelligence in Philadelphia-Negative Myeloproliferative Neoplasms

Author:

Elsayed Basel1ORCID,Elshoeibi Amgad1ORCID,Elhadary Mohamed1ORCID,Ferih Khaled1ORCID,Elsabagh Ahmed1ORCID,Rahhal Alaa2,Abu-Tineh Mohammad3ORCID,Afana Mohammad3,Abdulgayoom Mohammed3,Yassin Mohamed3ORCID

Affiliation:

1. College of Medicine, QU Health, Qatar University, Doha 2713, Qatar

2. Pharmacy Department, Heart Hospital, Hamad Medical Corporation (HMC), Doha 3050, Qatar

3. Hematology Section, Medical Oncology, National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation (HMC), Doha 3050, Qatar

Abstract

Philadelphia-negative (Ph-) myeloproliferative neoplasms (MPNs) are a group of hematopoietic malignancies identified by clonal proliferation of blood cell lineages and encompasses polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF). The clinical and laboratory features of Philadelphia-negative MPNs are similar, making them difficult to diagnose, especially in the preliminary stages. Because treatment goals and progression risk differ amongst MPNs, accurate classification and prognostication are critical for optimal management. Artificial intelligence (AI) and machine learning (ML) algorithms provide a plethora of possible tools to clinicians in general, and particularly in the field of malignant hematology, to better improve diagnosis, prognosis, therapy planning, and fundamental knowledge. In this review, we summarize the literature discussing the application of AI and ML algorithms in patients with diagnosed or suspected Philadelphia-negative MPNs. A literature search was conducted on PubMed/MEDLINE, Embase, Scopus, and Web of Science databases and yielded 125 studies, out of which 17 studies were included after screening. The included studies demonstrated the potential for the practical use of ML and AI in the diagnosis, prognosis, and genomic landscaping of patients with Philadelphia-negative MPNs.

Publisher

MDPI AG

Subject

Clinical Biochemistry

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