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October 3, 2025F1000ResearchOpen Access

Advances in Leukemia detection and classification: A Systematic review of AI and image processing techniques

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Authors

AAAya AchirUniversity of Hassan II CasablancaIDIkram DebbarhNZNadia ZoubirUniversity of Hassan II Casablanca

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Implication

Systematic review explores AI and image processing techniques, revealing improvements in leukemia diagnosis and classification.

Key Points

  • AI-based models show enhanced accuracy in diagnosing leukemia compared to traditional methods, improving early detection.
  • Key risk factors for leukemia include environmental exposures and genetic syndromes, impacting incidence and outcomes.
  • Systematic review analyzed over 25,000 articles, applying PRISMA methodology to examine AI in various leukemia types.
  • Challenges like data variability and disparities in access to AI hinder broader adoption, underscoring the need for solutions.

Cite This Study

Achir et al. (2025) studied this question.

synapsesocial.com/papers/68e02f40f0e39f13e7fa27d8https://doi.org/10.12688/f1000research.159318.2
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