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July 26, 2025Acta Haematologica

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

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Authors

JSJean SabilePZPing ZhangAPAnil V. Parwani

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Overview

Systematic review reveals AI/ML enhances diagnostic challenges and clinical outcomes in acute myeloid leukemia, suggesting further utilization in allogeneic stem cell transplantation.

Key Points

  • AI/ML technologies improve diagnostic challenges and clinical outcomes in acute myeloid leukemia.
  • This review examines 426 publications to assess AI/ML's role in addressing AML clinical issues.
  • Contemporary algorithms like GAN and transformers show promise in molecular risk stratification.
  • AI/ML advancements highlight opportunities for enhanced treatment approaches, especially in allogeneic stem cell transplantation.

Cite This Study

Sabile et al. (2025) studied this question.

synapsesocial.com/papers/689a0933e6551bb0af8ce52bhttps://doi.org/10.1159/000547532
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