From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film

Artificial intelligence (AI) and its application in classification of blood cells in the peripheral blood film is an evolving field in haematology. We performed a rapid review of the literature on AI and peripheral blood films, evaluating the condition studied, image datasets, machine learning model...

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Bibliographic Details
Published in:Blood reviews 2024-03, Vol.64, p.101144-101144, Article 101144
Main Authors: Fan, Bingwen Eugene, Yong, Bryan Song Jun, Li, Ruiqi, Wang, Samuel Sherng Young, Aw, Min Yi Natalie, Chia, Ming Fang, Chen, David Tao Yi, Neo, Yuan Shan, Occhipinti, Bruno, Ling, Ryan Ruiyang, Ramanathan, Kollengode, Ong, Yi Xiong, Lim, Kian Guan Eric, Wong, Wei Yong Kevin, Lim, Shu Ping, Latiff, Siti Thuraiya Binte Abdul, Shanmugam, Hemalatha, Wong, Moh Sim, Ponnudurai, Kuperan, Winkler, Stefan
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer vision
Haematology
Morphology
Peripheral blood films
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Summary:Artificial intelligence (AI) and its application in classification of blood cells in the peripheral blood film is an evolving field in haematology. We performed a rapid review of the literature on AI and peripheral blood films, evaluating the condition studied, image datasets, machine learning models, training set size, testing set size and accuracy. A total of 283 studies were identified, encompassing 6 broad domains: malaria (n = 95), leukemia (n = 81), leukocytes (n = 72), mixed (n = 25), erythrocytes (n = 15) or Myelodysplastic syndrome (MDS) (n = 1). These publications have demonstrated high self-reported mean accuracy rates across various studies (95.5% for malaria, 96.0% for leukemia, 94.4% for leukocytes, 95.2% for mixed studies and 91.2% for erythrocytes), with an overall mean accuracy of 95.1%. Despite the high accuracy, the challenges toward real world translational usage of these AI trained models include the need for well-validated multicentre data, data standardisation, and studies on less common cell types and non-malarial blood-borne parasites.
ISSN:0268-960X
1532-1681
DOI:10.1016/j.blre.2023.101144