Towards Clinically Actionable Machine Learning and Artificial Intelligence Algorithms in Acute Leukemia: A Systematic Narrative Review.

Journal: Acta haematologica
Published Date: Jul 24, 2025

Abstract

INTRODUCTION: Acute myeloid leukemia (AML) is a heterogenous hematologic malignancy that maintains high relapse rates and poor survival despite ongoing treatment advances. There is critically unmet need for consistently providing long-term survival with minimal treatment toxicity for AML patients. Advances in artificial intelligence/machine learning (AI/ML) offer new approaches to addressing clinical challenges in AML.

Authors

  • Jean Mg Sabile
  • Ping Zhang
    Department of Computer Science and Engineering, The Ohio State University, USA.
  • Anil V Parwani
    Department of Pathology, The Ohio State University Wexner Medical Centre, Columbus, OH, USA.
  • Boris Chobrutskiy
  • Arpita P Gandhi
  • Andrew Srisuwananukorn
    Department of Medicine, University of Illinois - Chicago, Chicago, IL, USA.

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