Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis.

Journal: Frontiers in big data
Published Date: Jan 17, 2025

Abstract

BACKGROUND: Leukemia is the 11 most prevalent type of cancer worldwide, with acute myeloid leukemia (AML) being the most frequent malignant blood malignancy in adults. Microscopic blood tests are the most common methods for identifying leukemia subtypes. An automated optical image-processing system using artificial intelligence (AI) has recently been applied to facilitate clinical decision-making.

Authors

  • Feras Al-Obeidat
    College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates.
  • Wael Hafez
    Internal Medicine Department, Medical Research and Clinical Studies Institute, The National Research Centre, Cairo, Egypt.
  • Asrar Rashid
    NMC Royal Hospital, Abu Dhabi, United Arab Emirates.
  • Mahir Khalil Jallo
    Department of Clinical Sciences, College of Medicine, Gulf Medical University, Ajman, United Arab Emirates.
  • Munier Gador
    NMC Royal Hospital, Abu Dhabi, United Arab Emirates.
  • Ivan Cherrez-Ojeda
    Department of Allergy and Immunology, Universidad Espiritu Santo, Samborondon, Ecuador.
  • Daniel Simancas-Racines
    Centro de Investigación de Salud Pública y Epidemiología Clínica (CISPEC), Universidad UTE, Quito, Ecuador.

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