Applications of artificial intelligence to myeloproliferative neoplasms: a narrative review.

Journal: Expert review of hematology
Published Date: Aug 13, 2024

Abstract

INTRODUCTION: Artificial intelligence (AI) is a rapidly growing field of computational research with the potential to extract nuanced biomarkers for the prediction of outcomes of interest. AI implementations for the prediction for clinical outcomes for myeloproliferative neoplasms (MPNs) are currently under investigation.

Authors

  • Andrew Srisuwananukorn
    Department of Medicine, University of Illinois - Chicago, Chicago, IL, USA.
  • Jordan E Krull
    Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA.
  • Qin Ma
    Computational Systems Biology Lab, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, GA 30602, USA BioEnergy Science Center, TN 37831, USA.
  • Ping Zhang
    Department of Computer Science and Engineering, The Ohio State University, USA.
  • Alexander T Pearson
    Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Ronald Hoffman
    Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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