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December 8, 2025Blood

Artificial intelligence enhanced prognostication in rare Acute Myeloid Leukemia subtypes with BCR::ABL1 and inv(3)/t(3;): A systematic review

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Authors

PDPrachi Dawer

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Overview

Systematic review reveals limited AI models for rare AML subtypes, highlighting gaps in predictive power and risk stratification.

Key Points

  • Evaluate the effectiveness of AI models for prognostication in rare subtypes of Acute Myeloid Leukemia (AML).
  • Systematic review using PRISMA guidelines
  • Search conducted in multiple databases from 2010 to June 2025
  • Focus on AI/ML studies for AML with BCR::ABL1 or inv(3)/t(3;3)
  • Inclusion criteria: human data, validated models, reported prognostic measures
  • Three studies concentrated on AML subtypes BCR::ABL1 and inv(3)/t(3;3)
  • Unique transcriptome profile identified for AML with BCR::ABL1 including CD25 overexpression
  • Moderate prognostic ability for texture-based AI model reported (AUC 0.71; HR 2.38)
  • No validated AI models for inv(3)/t(3;3), highlighting a significant gap

Cite This Study

Prachi Dawer (2025) studied this question.

synapsesocial.com/papers/693624dd4fa91c937236d1cahttps://doi.org/10.1182/blood-2025-7878
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